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2016 Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning
Proceedings of the CoNLL-16 shared task
Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning
2015 Proceedings of the Nineteenth Conference on Computational Natural Language Learning
Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task
Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
2014 Proceedings of the Eighteenth Conference on Computational Natural Language Learning
Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
2013 Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Proceedings of the Seventeenth Conference on Computational Natural Language Learning
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task
2012 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Joint Conference on EMNLP and CoNLL - Shared Task
2011 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
2010 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
2009 Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task
Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
2008 CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning
2007 Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
2006 Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)
2005 Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)
2004 Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004
2003 Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003
2002 COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)
2001 Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)
2000 Fourth Conference on Computational Natural Language Learning and the Second Learning Language in Logic Workshop
1999 EACL 1999: CoNLL-99 Computational Natural Language Learning
1998 New Methods in Language Processing and Computational Natural Language Learning
1997 CoNLL97: Computational Natural Language Learning

2016

  1. Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning

  2. K16-1 [bib]: Entire Volume
  3. K16-1000 [bib]: Front Matter

  4. K16-1001 [bib]: David Powers
    Computational Natural Language Learning: +-20years +-Data +-Features +-Multimodal +-Bioplausible
  5. K16-1002 [bib]: Samuel R. Bowman; Luke Vilnis; Oriol Vinyals; Andrew Dai; Rafal Jozefowicz; Samy Bengio
    Generating Sentences from a Continuous Space
  6. K16-1003 [bib]: Mohammed Hasanuzzaman; Gaėl Dias; Stėphane Ferrari; Yann Mathet; Andy Way
    Identifying Temporal Orientation of Word Senses
  7. K16-1004 [bib]: Zhiguo Wang; Haitao Mi; Abraham Ittycheriah
    Semi-supervised Clustering for Short Text via Deep Representation Learning
  8. K16-1005 [bib]: Dat Quoc Nguyen; Kairit Sirts; Lizhen Qu; Mark Johnson
    Neighborhood Mixture Model for Knowledge Base Completion
  9. K16-1006 [bib]: Oren Melamud; Jacob Goldberger; Ido Dagan
    context2vec: Learning Generic Context Embedding with Bidirectional LSTM
  10. K16-1007 [bib]: Omid Bakhshandeh; Alexis Cornelia Wellwood; James Allen
    Learning to Jointly Predict Ellipsis and Comparison Structures
  11. K16-1008 [bib]: Ashutosh Modi
    Event Embeddings for Semantic Script Modeling
  12. K16-1009 [bib]: Markus Zopf; Eneldo Loza Mencía; Johannes Fürnkranz
    Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
  13. K16-1010 [bib]: Alvin Grissom II; Naho Orita; Jordan Boyd-Graber
    Incremental Prediction of Sentence-final Verbs: Humans versus Machines
  14. K16-1011 [bib]: Sarah Hiller; Raquel Fernandez
    A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition
  15. K16-1012 [bib]: Andrey Kutuzov; Erik Velldal; Lilja Øvrelid
    Redefining part-of-speech classes with distributional semantic models
  16. K16-1013 [bib]: Rebecca Knowles; Adithya Renduchintala; Philipp Koehn; Jason Eisner
    Analyzing Learner Understanding of Novel L2 Vocabulary
  17. K16-1014 [bib]: Javad Nouri; Roman Yangarber
    Modeling language evolution with codes that utilize context and phonetic features
  18. K16-1015 [bib]: Aditya Joshi; Vaibhav Tripathi; Pushpak Bhattacharyya; Mark J Carman
    Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'
  19. K16-1016 [bib]: Abhijit Mishra; Diptesh Kanojia; Seema Nagar; Kuntal Dey; Pushpak Bhattacharyya
    Leveraging Cognitive Features for Sentiment Analysis
  20. K16-1017 [bib]: Silvio Amir; Byron C. Wallace; Hao Lyu; Paula Carvalho; Mario J. Silva
    Modelling Context with User Embeddings for Sarcasm Detection in Social Media
  21. K16-1018 [bib]: Meng Fang; Trevor Cohn
    Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
  22. K16-1019 [bib]: Swabha Swayamdipta; Miguel Ballesteros; Chris Dyer; Noah A. Smith
    Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
  23. K16-1020 [bib]: Jesús González-Rubio; Daniel Ortiz Martinez; Francisco Casacuberta; Jose Miguel Benedi Ruiz
    Beyond Prefix-Based Interactive Translation Prediction
  24. K16-1021 [bib]: Daniel Beck; Lucia Specia; Trevor Cohn
    Exploring Prediction Uncertainty in Machine Translation Quality Estimation
  25. K16-1022 [bib]: Chen-Tse Tsai; Stephen Mayhew; Dan Roth
    Cross-Lingual Named Entity Recognition via Wikification
  26. K16-1023 [bib]: Abbas Ghaddar; Phillippe Langlais
    Coreference in Wikipedia: Main Concept Resolution
  27. K16-1024 [bib]: Sebastian Krause; Feiyu Xu; Hans Uszkoreit; Dirk Weissenborn
    Event Linking with Sentential Features from Convolutional Neural Networks
  28. K16-1025 [bib]: Ikuya Yamada; Hiroyuki Shindo; Hideaki Takeda; Yoshiyasu Takefuji
    Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
  29. K16-1026 [bib]: Wei Fang; Jianwen Zhang; Dilin Wang; Zheng Chen; Ming Li
    Entity Disambiguation by Knowledge and Text Jointly Embedding
  30. K16-1027 [bib]: Anoop Kunchukuttan; Pushpak Bhattacharyya; Mitesh M. Khapra
    Substring-based unsupervised transliteration with phonetic and contextual knowledge
  31. K16-1028 [bib]: Ramesh Nallapati; Bowen Zhou; Cicero dos Santos; Caglar Gulcehre; Bing Xiang
    Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
  32. K16-1029 [bib]: Abigail See; Minh-Thang Luong; Christopher D. Manning
    Compression of Neural Machine Translation Models via Pruning
  33. K16-1030 [bib]: Frances Yung; Kevin Duh; Taku Komura; Yuji Matsumoto
    Modelling the Usage of Discourse Connectives as Rational Speech Acts
  34. K16-1031 [bib]: Boxing Chen; Fei Huang
    Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data
  35. Proceedings of the CoNLL-16 shared task

  36. K16-2 [bib]: Entire Volume
  37. K16-2000 [bib]: Front Matter

  38. K16-2001 [bib]: Nianwen Xue; Hwee Tou Ng; Sameer Pradhan; Attapol Rutherford; Bonnie Webber; Chuan Wang; Hongmin Wang
    CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing
  39. K16-2002 [bib]: Stephan Oepen; Jonathon Read; Tatjana Scheffler; Uladzimir Sidarenka; Manfred Stede; Erik Velldal; Lilja Øvrelid
    OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier Ensembles for Shallow Discourse Parsing
  40. K16-2003 [bib]: Xiaomian Kang; Haoran Li; Long Zhou; Jiajun Zhang; Chengqing Zong
    An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition
  41. K16-2004 [bib]: Jianxiang Wang; Man Lan
    Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task
  42. K16-2005 [bib]: Niko Schenk; Christian Chiarcos; Kathrin Donandt; Samuel Rönnqvist; Evgeny Stepanov; Giuseppe Riccardi
    Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling
  43. K16-2006 [bib]: Gregor Weiss; Marko Bajec
    Discourse Sense Classification from Scratch using Focused RNNs
  44. K16-2007 [bib]: Attapol Rutherford; Nianwen Xue
    Robust Non-Explicit Neural Discourse Parser in English and Chinese
  45. K16-2008 [bib]: Zhongyi Li; Hai Zhao; Chenxi Pang; Lili Wang; Huan Wang
    A Constituent Syntactic Parse Tree Based Discourse Parser
  46. K16-2009 [bib]: Fang Kong; Sheng Li; Junhui Li; Muhua Zhu; Guodong Zhou
    SoNLP-DP System for ConLL-2016 English Shallow Discourse Parsing
  47. K16-2010 [bib]: Lianhui Qin; Zhisong Zhang; Hai Zhao
    Shallow Discourse Parsing Using Convolutional Neural Network
  48. K16-2011 [bib]: Junhui Li; Fang Kong; Sheng Li; Muhua Zhu; Guodong Zhou
    SoNLP-DP System for ConLL-2016 Chinese Shallow Discourse Parsing
  49. K16-2012 [bib]: Evgeny Stepanov; Giuseppe Riccardi
    UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task
  50. K16-2013 [bib]: Majid Laali; Andre Cianflone; Leila Kosseim
    The CLaC Discourse Parser at CoNLL-2016
  51. K16-2014 [bib]: Todor Mihaylov; Anette Frank
    Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings
  52. K16-2015 [bib]: Manpreet Kaur; Nishu Kumari; Anil Kumar Singh; Rajeev Sangal
    IIT (BHU) Submission on the CoNLL-2016 Shared Task: Shallow Discourse Parsing using Semantic Lexicons
  53. K16-2016 [bib]: Prashant Chandrasekar; Xuan Zhang; Saurabh Chakravarty; Arijit Ray; John Krulick; Alla Rozovskaya
    The Virginia Tech System at CoNLL-2016 Shared Task on Shallow Discourse Parsing
  54. K16-2017 [bib]: Devanshu Jain; Prasenjit Majumder
    DA-IICT Submission for PDTB-styled Discourse Parser
  55. K16-2018 [bib]: Yusuke Kido; Akiko Aizawa
    Discourse Relation Sense Classification with Two-Step Classifiers
  56. K16-2019 [bib]: Maria Leonor Pacheco; I-Ta Lee; Xiao Zhang; Abdullah Khan Zehady; Pranjal Daga; Di Jin; Ayush Parolia; Dan Goldwasser
    Adapting Event Embedding for Implicit Discourse Relation Recognition
  57. K16-2020 [bib]: Minh Nguyen
    SDP-JAIST: A Shallow Discourse Parsing system $@$ CoNLL 2016 Shared Task
  58. K16-2021 [bib]: Ziwei Fan; Zhenghua Li; Min Zhang
    Finding Arguments as Sequence Labeling in Discourse Parsing
  59. K16-2022 [bib]: Ping Jian; Xiaohan She; Chenwei Zhang; Pengcheng Zhang; Jian Feng
    Discourse Relation Sense Classification Systems for CoNLL-2016 Shared Task
  60. Proceedings of the 7th Workshop on Cognitive Aspects of Computational Language Learning

  61. W16-19 [bib]: Entire Volume
  62. W16-1900 [bib]: Front Matter

  63. W16-1901 [bib]: Michaela Regneri; Diane King
    Automated Discourse Analysis of Narrations by Adolescents with Autistic Spectrum Disorder
  64. W16-1902 [bib]: Laura Hernandez-Dominguez; Edgar Garcia-Cano; Sylvie Ratté; Gerardo Sierra Martínez
    Detection of Alzheimer's disease based on automatic analysis of common objects descriptions
  65. W16-1903 [bib]: Laura Hernandez-Dominguez; Sylvie Ratté; Boyd Davis; Charlene Pope
    Conversing with the elderly in Latin America: a new cohort for multimodal, multilingual longitudinal studies on aging
  66. W16-1904 [bib]: Joe Cheri; Abhijit Mishra; Pushpak Bhattacharyya
    Leveraging Annotators' Gaze Behaviour for Coreference Resolution
  67. W16-1905 [bib]: Javad Nouri; Roman Yangarber
    From alignment of etymological data to phylogenetic inference via population genetics
  68. W16-1906 [bib]: Christos Christodoulopoulos; Dan Roth; Cynthia Fisher
    An incremental model of syntactic bootstrapping
  69. W16-1907 [bib]: Mats Wirén; Kristina Nilsson Björkenstam; Gintaré Grigonyté; Elisabet Eir Cortes
    Longitudinal Studies of Variation Sets in Child-directed Speech
  70. W16-1908 [bib]: Jianqiang Ma; Çağrı Çöltekin; Erhard Hinrichs
    Learning Phone Embeddings for Word Segmentation of Child-Directed Speech
  71. W16-1909 [bib]: Raquel Garrido Alhama; Willem Zuidema
    Generalization in Artificial Language Learning: Modelling the Propensity to Generalize
  72. W16-1910 [bib]: Daniel Spokoyny; Jeremy Irvin; Fermin Moscoso del Prado Martin
    Explicit Causal Connections between the Acquisition of Linguistic Tiers: Evidence from Dynamical Systems Modeling
  73. W16-1911 [bib]: Kristina Nilsson Björkenstam; Mats Wirén; Robert Östling
    Modelling the informativeness and timing of non-verbal cues in parent-child interaction

2015

  1. Proceedings of the Nineteenth Conference on Computational Natural Language Learning

  2. K15-1001: Artem Sokolov; Stefan Riezler; Shay B. Cohen
    A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
  3. K15-1002: Haoruo Peng; Kai-Wei Chang; Dan Roth
    A Joint Framework for Coreference Resolution and Mention Head Detection
  4. K15-1003: Dan Garrette; Chris Dyer; Jason Baldridge; Noah A. Smith
    A Supertag-Context Model for Weakly-Supervised CCG Parser Learning
  5. K15-1004: Xiaochang Peng; Linfeng Song; Daniel Gildea
    A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing
  6. K15-1005: Mohamed Al-Badrashiny; Heba Elfardy; Mona Diab
    AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic
  7. K15-1006: Himanshu Sharad Bhatt; Deepali Semwal; Shourya Roy
    An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification
  8. K15-1007: Francisco Guzmán; Preslav Nakov; Stephan Vogel
    Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
  9. K15-1008: MIN XIAO; Yuhong Guo
    Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing
  10. K15-1009: Lizhen Qu; Gabriela Ferraro; Liyuan Zhou; Weiwei Hou; Nathan Schneider; Timothy Baldwin
    Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks
  11. K15-1010: Yevgeni Berzak; Roi Reichart; Boris Katz
    Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL
  12. K15-1011: Anders Johannsen; Dirk Hovy; Anders Søgaard
    Cross-lingual syntactic variation over age and gender
  13. K15-1012: Long Duong; Trevor Cohn; Steven Bird; Paul Cook
    Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
  14. K15-1013: Dasha Bogdanova; Cicero dos Santos; Luciano Barbosa; Bianca Zadrozny
    Detecting Semantically Equivalent Questions in Online User Forums
  15. K15-1014: Youngsik Kim; Key-Sun Choi
    Entity Linking Korean Text: An Unsupervised Learning Approach using Semantic Relations
  16. K15-1015: Majid Yazdani; James Henderson
    Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training
  17. K15-1016: Roman Klinger; Philipp Cimiano
    Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis
  18. K15-1017: Ryan Cotterell; Thomas Müller; Alexander Fraser; Hinrich Schütze
    Labeled Morphological Segmentation with Semi-Markov Models
  19. K15-1018: Vered Shwartz; Omer Levy; Ido Dagan; Jacob Goldberger
    Learning to Exploit Structured Resources for Lexical Inference
  20. K15-1019: Rebecka Weegar; Kalle Åström; Pierre Nugues
    Linking Entities Across Images and Text
  21. K15-1020: Paul Felt; Eric Ringger; Jordan Boyd-Graber; Kevin Seppi
    Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA
  22. K15-1021: Wenpeng Yin; Hinrich Schütze
    Multichannel Variable-Size Convolution for Sentence Classification
  23. K15-1022: Michael Wiegand; Josef Ruppenhofer
    Opinion Holder and Target Extraction based on the Induction of Verbal Categories
  24. K15-1023: Ian Perera; James Allen
    Quantity, Contrast, and Convention in Cross-Situated Language Comprehension
  25. K15-1024: Zeheng Li; Mingrui Chen; LiGuo Huang; Vincent Ng
    Recovering Traceability Links in Requirements Documents
  26. K15-1025: Kristina Gulordava; Paola Merlo
    Structural and lexical factors in adjective placement in complex noun phrases across Romance languages
  27. K15-1026: Roy Schwartz; Roi Reichart; Ari Rappoport
    Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
  28. K15-1027: Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka
    Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
  29. K15-1028: Young-Seob Jeong; Zae Myung Kim; Hyun-Woo Do; Chae-Gyun Lim; Ho-Jin Choi
    Temporal Information Extraction from Korean Texts
  30. K15-1029: Miguel Ballesteros; Xavier Carreras
    Transition-based Spinal Parsing
  31. K15-1030: Shonosuke Ishiwatari; Nobuhiro Kaji; Naoki Yoshinaga; Masashi Toyoda; Masaru Kitsuregawa
    Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs
  32. K15-1031: Thang Luong; Michael Kayser; Christopher D. Manning
    Deep Neural Language Models for Machine Translation
  33. K15-1032: Todor Mihaylov; Georgi Georgiev; Preslav Nakov
    Finding Opinion Manipulation Trolls in News Community Forums
  34. K15-1033: Barbara Plank; Héctor Martínez Alonso; Željko Agić; Danijela Merkler; Anders Søgaard
    Do dependency parsing metrics correlate with human judgments?
  35. K15-1034: Anuj Mahajan; sharmistha Jat; Shourya Roy
    Feature Selection for Short Text Classification using Wavelet Packet Transform
  36. K15-1035: Jean Maillard; Stephen Clark
    Learning Adjective Meanings with a Tensor-Based Skip-Gram Model
  37. K15-1036: Kristina Toutanova; Waleed Ammar; Pallavi Choudhury; Hoifung Poon
    Model Selection for Type-Supervised Learning with Application to POS Tagging
  38. K15-1037: Kaveh Taghipour; Hwee Tou Ng
    One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction
  39. K15-1038: Maria Barrett; Anders Søgaard
    Reading behavior predicts syntactic categories
  40. Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task

  41. K15-2001: Nianwen Xue; Hwee Tou Ng; Sameer Pradhan; Rashmi Prasad; Christopher Bryant; Attapol Rutherford
    The CoNLL-2015 Shared Task on Shallow Discourse Parsing
  42. K15-2002: Jianxiang Wang; Man Lan
    A Refined End-to-End Discourse Parser
  43. K15-2003: Evgeny Stepanov; Giuseppe Riccardi; Ali Orkan Bayer
    The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models
  44. K15-2004: Fang Kong; Sheng Li; Guodong Zhou
    The SoNLP-DP System in the CoNLL-2015 shared Task
  45. K15-2005: Changge Chen; Peilu Wang; Hai Zhao
    Shallow Discourse Parsing Using Constituent Parsing Tree
  46. K15-2006: Christian Chiarcos; Niko Schenk
    A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition
  47. K15-2007: Sobha Lalitha Devi; Sindhuja Gopalan; Lakshmi S; Pattabhi RK Rao; Vijay Sundar Ram; Malarkodi C.S.
    A Hybrid Discourse Relation Parser in CoNLL 2015
  48. K15-2008: Majid Laali; Elnaz Davoodi; Leila Kosseim
    The CLaC Discourse Parser at CoNLL-2015
  49. K15-2009: Shubham Mukherjee; Abhishek Tiwari; Mohit Gupta; Anil Kumar Singh
    Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features
  50. K15-2010: Son Nguyen; Quoc Ho; Minh Nguyen
    JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts
  51. K15-2011: Tsuyoshi Okita; Longyue Wang; Qun Liu
    The DCU Discourse Parser: A Sense Classification Task
  52. K15-2012: Yangqiu Song; Haoruo Peng; Parisa Kordjamshidi; Mark Sammons; Dan Roth
    Improving a Pipeline Architecture for Shallow Discourse Parsing
  53. K15-2013: Jia Sun; Peijia Li; Weiqun Xu; Yonghong Yan
    A Shallow Discourse Parsing System Based On Maximum Entropy Model
  54. K15-2014: Longyue Wang; Chris Hokamp; Tsuyoshi Okita; Xiaojun Zhang; Qun Liu
    The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification
  55. K15-2015: Yasuhisa Yoshida; Katsuhiko Hayashi; Tsutomu Hirao; Masaaki Nagata
    Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015
  56. Proceedings of the Sixth Workshop on Cognitive Aspects of Computational Language Learning

  57. W15-2401: Maria Barrett; Anders Søgaard
    Using reading behavior to predict grammatical functions
  58. W15-2402: Sigrid Klerke; Sheila Castilho; Maria Barrett; Anders Søgaard
    Reading metrics for estimating task efficiency with MT output
  59. W15-2403: Thang Luong; Timothy O'Donnell; Noah Goodman
    Evaluating Models of Computation and Storage in Human Sentence Processing
  60. W15-2404: Jelke Bloem; Arjen Versloot; Fred Weerman
    An agent-based model of a historical word order change
  61. W15-2405: Robert Grimm; Giovanni Cassani; Walter Daelemans; Steven Gillis
    Towards a Model of Prediction-based Syntactic Category Acquisition: First Steps with Word Embeddings
  62. W15-2406: Giovanni Cassani; Robert Grimm; Walter Daelemans; Steven Gillis
    Which distributional cues help the most? Unsupervised contexts selection for lexical category acquisition
  63. W15-2407: Miquel Cornudella; Thierry Poibeau
    Language Emergence in a Population of Artificial Agents Equipped with the Autotelic Principle
  64. W15-2408: Pablo Faria
    A Computational Study of Cross-situational Lexical Learning of Brazilian Portuguese
  65. W15-2409: Çağrı Çöltekin
    Units in segmentation: a computational investigation
  66. W15-2410: Aleksandrs Berdicevskis
    Estimating Grammeme Redundancy by Measuring Their Importance for Syntactic Parser Performance
  67. W15-2411: Thomas Brochhagen
    Improving Coordination on Novel Meaning through Context and Semantic Structure
  68. W15-2412: Barend Beekhuizen; Suzanne Stevenson
    Perceptual, conceptual, and frequency effects on error patterns in English color term acquisition
  69. W15-2413: Bogdan Ludusan; Amanda Seidl; Emmanuel Dupoux; Alex Cristia
    Motif discovery in infant- and adult-directed speech
  70. W15-2414: Antal van den Bosch; Joan Bresnan
    Modeling dative alternations of individual children
  71. Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

  72. W15-2901: Zornitsa Kozareva
    Multilingual Affect Polarity and Valence Prediction in Metaphors
  73. W15-2902 [attachment]: David Vilares; Miguel A. Alonso; Carlos Gómez-Rodríguez
    Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
  74. W15-2903: Marine Carpuat
    Connotation in Translation
  75. W15-2904: Soroush Vosoughi; Helen Zhou; deb roy
    Enhanced Twitter Sentiment Classification Using Contextual Information
  76. W15-2905: Anupam Khattri; Aditya Joshi; Pushpak Bhattacharyya; Mark Carman
    Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm
  77. W15-2906: Thomas Kober; David Weir
    Optimising Agile Social Media Analysis
  78. W15-2907: Takaaki Tsunoda; Takashi Inui; Satoshi Sekine
    Utilizing review analysis to suggest product advertisement improvements
  79. W15-2908 [attachment]: Wiltrud Kessler; Roman Klinger; Jonas Kuhn
    Towards Opinion Mining from Reviews for the Prediction of Product Rankings
  80. W15-2909: Leticia Cagnina; Paolo Rosso
    Classification of deceptive opinions using a low dimensionality representation
  81. W15-2910: Josef Ruppenhofer; Jasper Brandes
    Extending effect annotation with lexical decomposition
  82. W15-2911: Lucie Flekova; Daniel Preoţiuc-Pietro; Eugen Ruppert
    Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
  83. W15-2912: Saif Mohammad
    Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget's Thesaurus
  84. W15-2913: Barbara Plank; Dirk Hovy
    Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week
  85. W15-2914: Johan Reitan; Jørgen Faret; Björn Gambäck; Lars Bungum
    Negation Scope Detection for Twitter Sentiment Analysis
  86. W15-2915: Sebastian Ebert; Ngoc Thang Vu; Hinrich Schütze
    A Linguistically Informed Convolutional Neural Network
  87. W15-2916: Chiraag Sumanth; Diana Inkpen
    How much does word sense disambiguation help in sentiment analysis of micropost data?
  88. W15-2917: Wernard Schmit; Sander Wubben
    Predicting Ratings for New Movie Releases from Twitter Content
  89. W15-2918: Márton Miháltz; Tamás Váradi; István Csertő; Éva Fülöp; Tibor Pólya; Pál Kővágó
    Beyond Sentiment: Social Psychological Analysis of Political Facebook Comments in Hungary
  90. W15-2919: Manfred Klenner
    Verb-centered Sentiment Inference with Description Logics
  91. W15-2920: Priyanka Sinha; Lipika Dey; Pabitra Mitra; Anupam Basu
    Mining HEXACO personality traits from Enterprise Social Media
  92. W15-2921: Michael Wiegand; Marc Schulder; Josef Ruppenhofer
    Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved
  93. W15-2922: Umar Maqsud
    Synthetic Text Generation for Sentiment Analysis
  94. W15-2923: Maria Skeppstedt; Teri Schamp-Bjerede; Magnus Sahlgren; Carita Paradis; Andreas Kerren
    Detecting speculations, contrasts and conditionals in consumer reviews
  95. W15-2924: Credell Simeon; Robert Hilderman
    Using Combined Lexical Resources to Identify Hashtag Types
  96. W15-2925: Phillip Smith; Mark Lee
    Sentiment Classification via a Response Recalibration Framework

2014

  1. Proceedings of the Eighteenth Conference on Computational Natural Language Learning

  2. W14-1601: Anders Søgaard; Anders Johannsen; Barbara Plank; Dirk Hovy; Héctor Martínez Alonso
    What's in a p-value in NLP?
  3. W14-1602: Rebecca Mason; Eugene Charniak
    Domain-Specific Image Captioning
  4. W14-1603: Yevgeni Berzak; Roi Reichart; Boris Katz
    Reconstructing Native Language Typology from Foreign Language Usage
  5. W14-1604: Mohamed Al-Badrashiny; Ramy Eskander; Nizar Habash; Owen Rambow
    Automatic Transliteration of Romanized Dialectal Arabic
  6. W14-1605: Gianni Barlacchi; Massimo Nicosia; Alessandro Moschitti
    Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles
  7. W14-1606: Ashutosh Modi; Ivan Titov
    Inducing Neural Models of Script Knowledge
  8. W14-1607: Jacob Andreas; Dan Klein
    Grounding Language with Points and Paths in Continuous Spaces
  9. W14-1608: Marek Rei; Ted Briscoe
    Looking for Hyponyms in Vector Space
  10. W14-1609: Alexandre Passos; Vineet Kumar; Andrew McCallum
    Lexicon Infused Phrase Embeddings for Named Entity Resolution
  11. W14-1610: Omer Levy; Ido Dagan; Jacob Goldberger
    Focused Entailment Graphs for Open IE Propositions
  12. W14-1611: Sonal Gupta; Christopher Manning
    Improved Pattern Learning for Bootstrapped Entity Extraction
  13. W14-1612: Avirup Sil; Silviu-Petru Cucerzan
    Towards Temporal Scoping of Relational Facts based on Wikipedia Data
  14. W14-1613: Min Xiao; Yuhong Guo
    Distributed Word Representation Learning for Cross-Lingual Dependency Parsing
  15. W14-1614: Jörg Tiedemann; Željko Agić; Joakim Nivre
    Treebank Translation for Cross-Lingual Parser Induction
  16. W14-1615: Dan Garrette; Chris Dyer; Jason Baldridge; Noah A. Smith
    Weakly-Supervised Bayesian Learning of a CCG Supertagger
  17. W14-1616: Yang Feng; Trevor Cohn; Xinkai Du
    Factored Markov Translation with Robust Modeling
  18. W14-1617: Ann Irvine; Chris Callison-Burch
    Hallucinating Phrase Translations for Low Resource MT
  19. W14-1618: Omer Levy; Yoav Goldberg
    Linguistic Regularities in Sparse and Explicit Word Representations
  20. W14-1619: Oren Melamud; Ido Dagan; Jacob Goldberger; Idan Szpektor; Deniz Yuret
    Probabilistic Modeling of Joint-context in Distributional Similarity
  21. W14-1620: Abdellah Fourtassi; Emmanuel Dupoux
    A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition
  22. Proceedings of the Eighteenth Conference on Computational Natural Language Learning: Shared Task

  23. W14-1701: Hwee Tou Ng; Siew Mei Wu; Ted Briscoe; Christian Hadiwinoto; Raymond Hendy Susanto; Christopher Bryant
    The CoNLL-2014 Shared Task on Grammatical Error Correction
  24. W14-1702: Mariano Felice; Zheng Yuan; Øistein E. Andersen; Helen Yannakoudakis; Ekaterina Kochmar
    Grammatical error correction using hybrid systems and type filtering
  25. W14-1703: Marcin Junczys-Dowmunt; Roman Grundkiewicz
    The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation
  26. W14-1704: Alla Rozovskaya; Kai-Wei Chang; Mark Sammons; Dan Roth; Nizar Habash
    The Illinois-Columbia System in the CoNLL-2014 Shared Task
  27. W14-1705: Tiberiu Boroş; Stefan Daniel Dumitrescu; Adrian Zafiu; Verginica Barbu Mititelu; Ionut Paul Vaduva
    RACAI GEC – A hybrid approach to Grammatical Error Correction
  28. W14-1706: Anubhav Gupta
    Grammatical Error Detection Using Tagger Disagreement
  29. W14-1707: S. David Hdez.; Hiram Calvo
    CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora
  30. W14-1708: Anoop Kunchukuttan; Sriram Chaudhury; Pushpak Bhattacharyya
    Tuning a Grammar Correction System for Increased Precision
  31. W14-1709: Kyusong Lee; Gary Geunbae Lee
    POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task
  32. W14-1710: Peilu Wang; Zhongye Jia; Hai Zhao
    Grammatical Error Detection and Correction using a Single Maximum Entropy Model
  33. W14-1711: Yiming Wang; Longyue Wang; Xiaodong Zeng; Derek F. Wong; Lidia S. Chao; Yi Lu
    Factored Statistical Machine Translation for Grammatical Error Correction
  34. W14-1712: Jian-Cheng Wu; Tzu-Hsi Yen; Jim Chang; Guan-Cheng Huang; Jimmy Chang; Hsiang-Ling Hsu; Yu-Wei Chang; Jason S. Chang
    NTHU at the CoNLL-2014 Shared Task
  35. W14-1713: Longkai Zhang; Houfeng WANG
    A Unified Framework for Grammar Error Correction
  36. Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

  37. W14-2601: Saif Mohammad
    Words: Evaluative, Emotional, Colourful, Musical!
  38. W14-2602: Jakob Elming; Barbara Plank; Dirk Hovy
    Robust Cross-Domain Sentiment Analysis for Low-Resource Languages
  39. W14-2603: Lingjia Deng; Janyce Wiebe
    An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar !
  40. W14-2604: Manfred Klenner; Michael Amsler; Nora Hollenstein
    Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives
  41. W14-2605: Josef Steinberger; Tomáš Brychcín; Michal Konkol
    Aspect-Level Sentiment Analysis in Czech
  42. W14-2606: Myle Ott
    Linguistic Models of Deceptive Opinion Spam
  43. W14-2607: Saif Mohammad; Xiaodan Zhu; Joel Martin
    Semantic Role Labeling of Emotions in Tweets
  44. W14-2608: Konstantin Buschmeier; Philipp Cimiano; Roman Klinger
    An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews
  45. W14-2609: Francesco Barbieri; Horacio Saggion; Francesco Ronzano
    Modelling Sarcasm in Twitter, a Novel Approach
  46. W14-2610: Michal Ptaszynski; Fumito Masui; Rafal Rzepka; Kenji Araki
    Emotive or Non-emotive: That is The Question
  47. W14-2611: Alexandra Balahur; Hristo Tanev; Erik van der Goot
    Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining
  48. W14-2612: Ilia Chetviorkin; Natalia Loukachevitch
    Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams
  49. W14-2613: Gerard Lynch; Pádraig Cunningham
    Linguistically Informed Tweet Categorization for Online Reputation Management
  50. W14-2614: Yoon Kim; Owen Zhang
    Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification
  51. W14-2615: Tatiana Gasanova; Roman Sergienko; Shakhnaz Akhmedova; Eugene Semenkin; Wolfgang Minker
    Opinion Mining and Topic Categorization with Novel Term Weighting
  52. W14-2616: Hugo Lewi Hammer; Per Erik Solberg; Lilja Øvrelid
    Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method
  53. W14-2617: Lu Wang; Claire Cardie
    Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon
  54. W14-2618: Yoonjung Choi; Lingjia Deng; Janyce Wiebe
    Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events
  55. W14-2619: Nikhilkumar Jadhav; Pushpak Bhattacharyya
    Dive deeper: Deep Semantics for Sentiment Analysis
  56. W14-2620: Siavash Kazemian; Shunan Zhao; Gerald Penn
    Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading
  57. W14-2621: Dai Quoc Nguyen; Dat Quoc Nguyen; Thanh Vu; Son Bao Pham
    Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based Features
  58. W14-2622: Itir Onal; Ali Mert Ertugrul; Ruken Cakici
    Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data
  59. W14-2623: Abhijit Mishra; Aditya Joshi; Pushpak Bhattacharyya
    A cognitive study of subjectivity extraction in sentiment annotation
  60. W14-2624: Wanting Mao; Lu Xiao; Robert Mercer
    The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online Deliberations
  61. W14-2625: Janyce Wiebe; Lingjia Deng
    A Conceptual Framework for Inferring Implicatures

2013

  1. Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

  2. W13-1601: Rosalind Picard
    Recent adventures with emotion-reading technology
  3. W13-1602: Ashequl Qadir; Ellen Riloff
    Bootstrapped Learning of Emotion Hashtags #hashtags4you
  4. W13-1603: Valentina Sintsova; Claudiu Musat; Pearl Pu
    Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation
  5. W13-1604: Matías Dell' Amerlina Ríos; Agustin Gravano
    Spanish DAL: A Spanish Dictionary of Affect in Language
  6. W13-1605: Christine Liebrecht; Florian Kunneman; Antal Van den Bosch
    The perfect solution for detecting sarcasm in tweets #not
  7. W13-1606: Donato Hernández; Rafael Guzmán; Manuel Móntes y Gomez; Paolo Rosso
    Using PU-Learning to Detect Deceptive Opinion Spam
  8. W13-1607: Hugo Jair Escalante; Esaú Villatoro-Tello; Antonio Juárez; Manuel Montes-y-Gómez; Luis Villaseñor
    Sexual predator detection in chats with chained classifiers
  9. W13-1608: Ahmed Mourad; Kareem Darwish
    Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs
  10. W13-1609: Ivan Habernal; Tomáš Ptáček; Josef Steinberger
    Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
  11. W13-1610: Narendra Gupta
    Tagging Opinion Phrases and their Targets in User Generated Textual Reviews
  12. W13-1611: Wladimir Sidorenko; Jonathan Sonntag; Nina Krüger; Stefan Stieglitz; Manfred Stede
    From newspaper to microblogging: What does it take to find opinions?
  13. W13-1612: Eugenio Martínez-Cámara; M. Teresa Martín-Valdivia; M. Dolores Molina-González; L. Alfonso Ureña-López
    Bilingual Experiments on an Opinion Comparable Corpus
  14. W13-1613: Yoan Gutiérrez; Andy González; Antonio Fernández; Andrés Montoyo; Rafael Muñoz
    RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora
  15. W13-1614: Valerio Basile; malvina nissim
    Sentiment analysis on Italian tweets
  16. W13-1615: Samir Rustamov; Elshan Mustafayev; Mark Clements
    Sentence-Level Subjectivity Detection Using Neuro-Fuzzy Models
  17. W13-1616: Basant Agarwal; Namita Mittal
    Sentiment Classification using Rough Set based Hybrid Feature Selection
  18. W13-1617: Alexandra Balahur
    Sentiment Analysis in Social Media Texts
  19. Proceedings of the Seventeenth Conference on Computational Natural Language Learning

  20. W13-3501: Min Xiao; Yuhong Guo
    Online Active Learning for Cost Sensitive Domain Adaptation
  21. W13-3502: Michael Bloodgood; John Grothendieck
    Analysis of Stopping Active Learning based on Stabilizing Predictions
  22. W13-3503: Om Damani
    Improving Pointwise Mutual Information (PMI) by Incorporating Significant Co-occurrence
  23. W13-3504: Teemu Ruokolainen; Oskar Kohonen; Sami Virpioja; Mikko Kurimo
    Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
  24. W13-3505: Luheng He; Jennifer Gillenwater; Ben Taskar
    Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
  25. W13-3506: Tomoya Iwakura
    A Boosted Semi-Markov Perceptron
  26. W13-3507: Karl Stratos; Alexander Rush; Shay B. Cohen; Michael Collins
    Spectral Learning of Refinement HMMs
  27. W13-3508: Kapil Thadani; Kathleen McKeown
    Sentence Compression with Joint Structural Inference
  28. W13-3509: Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti
    Learning Adaptable Patterns for Passage Reranking
  29. W13-3510: Alona Fyshe; Brian Murphy; Partha Talukdar; Tom Mitchell
    Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
  30. W13-3511: Edouard Grave; Guillaume Obozinski; Francis Bach
    Hidden Markov tree models for semantic class induction
  31. W13-3512: Thang Luong; Richard Socher; Christopher Manning
    Better Word Representations with Recursive Neural Networks for Morphology
  32. W13-3513: Dimitri Kartsaklis; Mehrnoosh Sadrzadeh; Stephen Pulman
    Separating Disambiguation from Composition in Distributional Semantics
  33. W13-3514: Kazi Saidul Hasan; Vincent Ng
    Frame Semantics for Stance Classification
  34. W13-3515: Gabor Angeli; Christopher Manning
    Philosophers are Mortal: Inferring the Truth of Unseen Facts
  35. W13-3516: Sameer Pradhan; Alessandro Moschitti; Nianwen Xue; Hwee Tou Ng; Anders Björkelund; Olga Uryupina; Yuchen Zhang; Zhi Zhong
    Towards Robust Linguistic Analysis using OntoNotes
  36. W13-3517: Jiaping Zheng; Luke Vilnis; Sameer Singh; Jinho D. Choi; Andrew McCallum
    Dynamic Knowledge-Base Alignment for Coreference Resolution
  37. W13-3518: Matthew Honnibal; Yoav Goldberg; Mark Johnson
    A Non-Monotonic Arc-Eager Transition System for Dependency Parsing
  38. W13-3519: Pengyu Wang; Phil Blunsom
    Collapsed Variational Bayesian Inference for PCFGs
  39. W13-3520: Rami Al-Rfou; Bryan Perozzi; Steven Skiena
    Polyglot: Distributed Word Representations for Multilingual NLP
  40. W13-3521: Marcos Calvo; Fernando García; Lluís-F. Hurtado; Santiago Jiménez; Emilio Sanchis
    Exploiting multiple hypotheses for Multilingual Spoken Language Understanding
  41. W13-3522: Wilker Aziz; Lucia Specia
    Multilingual WSD-like Constraints for Paraphrase Extraction
  42. W13-3523: Xiaodong Liu; Kevin Duh; Yuji Matsumoto
    Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus
  43. W13-3524: Jürgen Broß; Heiko Ehrig
    Terminology Extraction Approaches for Product Aspect Detection in Customer Reviews
  44. W13-3525: Libby Barak; Afsaneh Fazly; Suzanne Stevenson
    Acquisition of Desires before Beliefs: A Computional Investigation
  45. Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task

  46. W13-3601: Hwee Tou Ng; Siew Mei Wu; Yuanbin Wu; Christian Hadiwinoto; Joel Tetreault
    The CoNLL-2013 Shared Task on Grammatical Error Correction
  47. W13-3602: Alla Rozovskaya; Kai-Wei Chang; Mark Sammons; Dan Roth
    The University of Illinois System in the CoNLL-2013 Shared Task
  48. W13-3603: Ting-hui Kao; Yu-wei Chang; Hsun-wen Chiu; Tzu-Hsi Yen; Joanne Boisson; Jian-cheng Wu; Jason S. Chang
    CoNLL-2013 Shared Task: Grammatical Error Correction NTHU System Description
  49. W13-3604: Ippei Yoshimoto; Tomoya Kose; Kensuke Mitsuzawa; Keisuke Sakaguchi; Tomoya Mizumoto; Yuta Hayashibe; Mamoru Komachi; Yuji Matsumoto
    NAIST at 2013 CoNLL Grammatical Error Correction Shared Task
  50. W13-3605: Junwen Xing; Longyue Wang; Derek F. Wong; Lidia S. Chao; Xiaodong Zeng
    UM-Checker: A Hybrid System for English Grammatical Error Correction
  51. W13-3606: Jan Buys; Brink van der Merwe
    A Tree Transducer Model for Grammatical Error Correction
  52. W13-3607: Zheng Yuan; Mariano Felice
    Constrained Grammatical Error Correction using Statistical Machine Translation
  53. W13-3608: Gabor Berend; Veronika Vincze; Sina Zarrieß; Richárd Farkas
    LFG-based Features for Noun Number and Article Grammatical Errors
  54. W13-3609: Dan Flickinger; Jiye Yu
    Toward More Precision in Correction of Grammatical Errors
  55. W13-3610: Zhongye Jia; Peilu Wang; Hai Zhao
    Grammatical Error Correction as Multiclass Classification with Single Model
  56. W13-3611: Anoop Kunchukuttan; Ritesh Shah; Pushpak Bhattacharyya
    IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction
  57. W13-3612: Desmond Darma Putra; Lili Szabo
    UdS at CoNLL 2013 Shared Task
  58. W13-3613: Grigori Sidorov; Anubhav Gupta; Martin Tozer; Dolors Catala; Angels Catena; Sandrine Fuentes
    Rule-based System for Automatic Grammar Correction Using Syntactic N-grams for English Language Learning (L2)
  59. W13-3614: Antal van den Bosch; Peter Berck
    Memory-based Grammatical Error Correction
  60. W13-3615: L. Amber Wilcox-O’Hearn
    A Noisy Channel Model Framework for Grammatical Correction
  61. W13-3616: Yang Xiang; Bo Yuan; Yaoyun Zhang; Xiaolong Wang; Wen Zheng; Chongqiang Wei
    A Hybrid Model For Grammatical Error Correction
  62. W13-3617: Bong-Jun Yi; Ho-Chang Lee; Hae-Chang Rim
    KUNLP Grammatical Error Correction System For CoNLL-2013 Shared Task

2012

  1. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

  2. D12-1001: Greg Durrett; Adam Pauls; Dan Klein
    Syntactic Transfer Using a Bilingual Lexicon
  3. D12-1002: Jagadeesh Jagarlamudi; Hal Daume III
    Regularized Interlingual Projections: Evaluation on Multilingual Transliteration
  4. D12-1003: Akihiro Tamura; Taro Watanabe; Eiichiro Sumita
    Bilingual Lexicon Extraction from Comparable Corpora Using Label Propagation
  5. D12-1004: Kai Hong; Christian G. Kohler; Mary E. March; Amber A. Parker; Ani Nenkova
    Lexical Differences in Autobiographical Narratives from Schizophrenic Patients and Healthy Controls
  6. D12-1005: Benjamin Van Durme
    Streaming Analysis of Discourse Participants
  7. D12-1006: Ahmed Hassan; Amjad Abu-Jbara; Dragomir Radev
    Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants
  8. D12-1007: Aciel Eshky; Ben Allison; Mark Steedman
    Generative Goal-Driven User Simulation for Dialog Management
  9. D12-1008: Nina Dethlefs; Helen Hastie; Verena Rieser; Oliver Lemon
    Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems
  10. D12-1009: Michael J. Paul
    Mixed Membership Markov Models for Unsupervised Conversation Modeling
  11. D12-1010: Xianpei Han; Le Sun
    An Entity-Topic Model for Entity Linking
  12. D12-1011: Avirup Sil; Ernest Cronin; Penghai Nie; Yinfei Yang; Ana-Maria Popescu; Alexander Yates
    Linking Named Entities to Any Database
  13. D12-1012: Ajay Nagesh; Ganesh Ramakrishnan; Laura Chiticariu; Rajasekar Krishnamurthy; Ankush Dharkar; Pushpak Bhattacharyya
    Towards Efficient Named-Entity Rule Induction for Customizability
  14. D12-1013: Shoushan Li; Shengfeng Ju; Guodong Zhou; Xiaojun Li
    Active Learning for Imbalanced Sentiment Classification
  15. D12-1014: Lizhen Qu; Rainer Gemulla; Gerhard Weikum
    A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts
  16. D12-1015: Yanyan Zhao; Bing Qin; Ting Liu
    Collocation Polarity Disambiguation Using Web-based Pseudo Contexts
  17. D12-1016: Michael Roth; Anette Frank
    Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering
  18. D12-1017: Vivi Nastase; Alex Judea; Katja Markert; Michael Strube
    Local and Global Context for Supervised and Unsupervised Metonymy Resolution
  19. D12-1018: Hila Weisman; Jonathan Berant; Idan Szpektor; Ido Dagan
    Learning Verb Inference Rules from Linguistically-Motivated Evidence
  20. D12-1019: Paramveer Dhillon; Jordan Rodu; Michael Collins; Dean Foster; Lyle Ungar
    Spectral Dependency Parsing with Latent Variables
  21. D12-1020: Robert Lindsey; William Headden; Michael Stipicevic
    A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes
  22. D12-1021: Abby Levenberg; Chris Dyer; Phil Blunsom
    A Bayesian Model for Learning SCFGs with Discontiguous Rules
  23. D12-1022: Kristian Woodsend; Mirella Lapata
    Multiple Aspect Summarization Using Integer Linear Programming
  24. D12-1023: Michael White; Rajakrishnan Rajkumar
    Minimal Dependency Length in Realization Ranking
  25. D12-1024: Seonggi Ryang; Takeshi Abekawa
    Framework of Automatic Text Summarization Using Reinforcement Learning
  26. D12-1025: Qing Dou; Kevin Knight
    Large Scale Decipherment for Out-of-Domain Machine Translation
  27. D12-1026: Zhengxian Gong; Min Zhang; Chew Lim Tan; Guodong Zhou
    N-gram-based Tense Models for Statistical Machine Translation
  28. D12-1027: Pidong Wang; Preslav Nakov; Hwee Tou Ng
    Source Language Adaptation for Resource-Poor Machine Translation
  29. D12-1028: David Mareček; Zdeněk Žabokrtský
    Exploiting Reducibility in Unsupervised Dependency Parsing
  30. D12-1029: Daniel Fernández-González; Carlos Gómez-Rodrìguez
    Improving Transition-Based Dependency Parsing with Buffer Transitions
  31. D12-1030: Hao Zhang; Ryan McDonald
    Generalized Higher-Order Dependency Parsing with Cube Pruning
  32. D12-1031: Young-Bum Kim; Benjamin Snyder
    Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets
  33. D12-1032: Nicholas Andrews; Jason Eisner; Mark Dredze
    Name Phylogeny: A Generative Model of String Variation
  34. D12-1033: Vera Demberg; Asad Sayeed; Philip Gorinski; Nikolaos Engonopoulos
    Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts
  35. D12-1034: Jong-Hoon Oh; Kentaro Torisawa; Chikara Hashimoto; Takuya Kawada; Stijn De Saeger; Jun'ichi Kazama; Yiou Wang
    Why Question Answering using Sentiment Analysis and Word Classes
  36. D12-1035: Mohamed Yahya; Klaus Berberich; Shady Elbassuoni; Maya Ramanath; Volker Tresp; Gerhard Weikum
    Natural Language Questions for the Web of Data
  37. D12-1036: Jianxing Yu; Zheng-Jun Zha; Tat-Seng Chua
    Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews
  38. D12-1037: Lemao Liu; Hailong Cao; Taro Watanabe; Tiejun Zhao; Mo Yu; Conghui Zhu
    Locally Training the Log-Linear Model for SMT
  39. D12-1038: Wenbin Jiang; Fandong Meng; Qun Liu; Yajuan Lü
    Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation
  40. D12-1039: Bo Han; Paul Cook; Timothy Baldwin
    Automatically Constructing a Normalisation Dictionary for Microblogs
  41. D12-1040: Joohyun Kim; Raymond Mooney
    Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
  42. D12-1041: Nan Duan; Mu Li; Ming Zhou
    Forced Derivation Tree based Model Training to Statistical Machine Translation
  43. D12-1042: Mihai Surdeanu; Julie Tibshirani; Ramesh Nallapati; Christopher D. Manning
    Multi-instance Multi-label Learning for Relation Extraction
  44. D12-1043: Thomas François; Cédrick Fairon
    An ``AI readability'' Formula for French as a Foreign Language
  45. D12-1044: Emily Pitler; Sampath Kannan; Mitchell Marcus
    Dynamic Programming for Higher Order Parsing of Gap-Minding Trees
  46. D12-1045: Heeyoung Lee; Marta Recasens; Angel Chang; Mihai Surdeanu; Dan Jurafsky
    Joint Entity and Event Coreference Resolution across Documents
  47. D12-1046: Xian Qian; Yang Liu
    Joint Chinese Word Segmentation, POS Tagging and Parsing
  48. D12-1047: Shixiang Lu; Wei Wei; Xiaoyin Fu; Bo Xu
    Translation Model Based Cross-Lingual Language Model Adaptation: from Word Models to Phrase Models
  49. D12-1048: BBEMausam]; Michael Schmitz; Stephen Soderland; Robert Bart; Oren Etzioni
    Open Language Learning for Information Extraction
  50. D12-1049: Lan Du; Wray Buntine; Huidong Jin
    Modelling Sequential Text with an Adaptive Topic Model
  51. D12-1050: William Blacoe; Mirella Lapata
    A Comparison of Vector-based Representations for Semantic Composition
  52. D12-1051: Junsheng Zhou; Weiguang Qu; Fen Zhang
    Exploiting Chunk-level Features to Improve Phrase Chunking
  53. D12-1052: Daniel Dahlmeier; Hwee Tou Ng
    A Beam-Search Decoder for Grammatical Error Correction
  54. D12-1053: Mathias Verbeke; Vincent Van Asch; Roser Morante; Paolo Frasconi; Walter Daelemans; Luc De Raedt
    A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories
  55. D12-1054: Rada Mihalcea; Carlo Strapparava
    Lyrics, Music, and Emotions
  56. D12-1055: Su-Youn Yoon; Suma Bhat
    Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures
  57. D12-1056: Hisami Suzuki; Jianfeng Gao
    A Unified Approach to Transliteration-based Text Input with Online Spelling Correction
  58. D12-1057: Chikara Hashimoto; Kentaro Torisawa; Stijn De Saeger; Jong-Hoon Oh; Jun'ichi Kazama
    Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web
  59. D12-1058: Atsushi Fujita; Pierre Isabelle; Roland Kuhn
    Enlarging Paraphrase Collections through Generalization and Instantiation
  60. D12-1059: Afra Alishahi; Grzegorz Chrupala
    Concurrent Acquisition of Word Meaning and Lexical Categories
  61. D12-1060: Natalia Ponomareva; Mike Thelwall
    Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
  62. D12-1061: Jianfeng Gao; Shasha Xie; Xiaodong He; Alnur Ali
    Learning Lexicon Models from Search Logs for Query Expansion
  63. D12-1062: Quang Do; Wei Lu; Dan Roth
    Joint Inference for Event Timeline Construction
  64. D12-1063: Valentin I. Spitkovsky; Hiyan Alshawi; Daniel Jurafsky
    Three Dependency-and-Boundary Models for Grammar Induction
  65. D12-1064: Sze-Meng Jojo Wong; Mark Dras; Mark Johnson
    Exploring Adaptor Grammars for Native Language Identification
  66. D12-1065: Jennifer Gillenwater; Alex Kulesza; Ben Taskar
    Discovering Diverse and Salient Threads in Document Collections
  67. D12-1066: Aurélien Max; Houda Bouamor; Anne Vilnat
    Generalizing Sub-sentential Paraphrase Acquisition across Original Signal Type of Text Pairs
  68. D12-1067: Sebastian Riedel; David Smith; Andrew McCallum
    Parse, Price and Cut–-Delayed Column and Row Generation for Graph Based Parsers
  69. D12-1068: Jian Bo Yang; Qi Mao; Qiao Liang Xiang; Ivor Wai-Hung Tsang; Kian Ming Adam Chai; Hai Leong Chieu
    Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
  70. D12-1069: Jayant Krishnamurthy; Tom Mitchell
    Weakly Supervised Training of Semantic Parsers
  71. D12-1070: Ping Xu; Pascale Fung
    Cross-Lingual Language Modeling with Syntactic Reordering for Low-Resource Speech Recognition
  72. D12-1071: Altaf Rahman; Vincent Ng
    Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge
  73. D12-1072: Timothy O'Keefe; Silvia Pareti; James R. Curran; Irena Koprinska; Matthew Honnibal
    A Sequence Labelling Approach to Quote Attribution
  74. D12-1073: Xian-Ling Mao; Zhao-Yan Ming; Tat-Seng Chua; Si Li; Hongfei Yan; Xiaoming Li
    SSHLDA: A Semi-Supervised Hierarchical Topic Model
  75. D12-1074: Jason Naradowsky; Sebastian Riedel; David Smith
    Improving NLP through Marginalization of Hidden Syntactic Structure
  76. D12-1075: Dan Garrette; Jason Baldridge
    Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
  77. D12-1076: Liwei Chen; Yansong Feng; Lei Zou; Dongyan Zhao
    Explore Person Specific Evidence in Web Person Name Disambiguation
  78. D12-1077: Graham Neubig; Taro Watanabe; Shinsuke Mori
    Inducing a Discriminative Parser to Optimize Machine Translation Reordering
  79. D12-1078: Shujie Liu; Chi-Ho Li; Mu Li; Ming Zhou
    Re-training Monolingual Parser Bilingually for Syntactic SMT
  80. D12-1079: David Burkett; Dan Klein
    Transforming Trees to Improve Syntactic Convergence
  81. D12-1080: David McClosky; Christopher D. Manning
    Learning Constraints for Consistent Timeline Extraction
  82. D12-1081: Yohei Takaku; Nobuhiro Kaji; Naoki Yoshinaga; Masashi Toyoda
    Identifying Constant and Unique Relations by using Time-Series Text
  83. D12-1082: Thomas Lin; BBEMausam]; Oren Etzioni
    No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
  84. D12-1083: Shafiq Joty; Giuseppe Carenini; Raymond Ng
    A Novel Discriminative Framework for Sentence-Level Discourse Analysis
  85. D12-1084: Michaela Regneri; Rui Wang
    Using Discourse Information for Paraphrase Extraction
  86. D12-1085: Bernd Bohnet; Anders Björkelund; Jonas Kuhn; Wolfgang Seeker; Sina Zarriess
    Generating Non-Projective Word Order in Statistical Linearization
  87. D12-1086: Mehmet Ali Yatbaz; Enis Sert; Deniz Yuret
    Learning Syntactic Categories Using Paradigmatic Representations of Word Context
  88. D12-1087: Keith Stevens; Philip Kegelmeyer; David Andrzejewski; David Buttler
    Exploring Topic Coherence over Many Models and Many Topics
  89. D12-1088: Wang Ling; João Graça; Isabel Trancoso; Alan Black
    Entropy-based Pruning for Phrase-based Machine Translation
  90. D12-1089: Richard Zens; Daisy Stanton; Peng Xu
    A Systematic Comparison of Phrase Table Pruning Techniques
  91. D12-1090: Mengqiu Wang; Christopher D. Manning
    Probabilistic Finite State Machines for Regression-based MT Evaluation
  92. D12-1091: Taylor Berg-Kirkpatrick; David Burkett; Dan Klein
    An Empirical Investigation of Statistical Significance in NLP
  93. D12-1092: Peifeng Li; Guodong Zhou; Qiaoming Zhu; Libin Hou
    Employing Compositional Semantics and Discourse Consistency in Chinese Event Extraction
  94. D12-1093: Ni Lao; Amarnag Subramanya; Fernando Pereira; William W. Cohen
    Reading The Web with Learned Syntactic-Semantic Inference Rules
  95. D12-1094: Bonan Min; Shuming Shi; Ralph Grishman; Chin-Yew Lin
    Ensemble Semantics for Large-scale Unsupervised Relation Extraction
  96. D12-1095: Richard Farkas; Helmut Schmid
    Forest Reranking through Subtree Ranking
  97. D12-1096: Jonathan K. Kummerfeld; David Hall; James R. Curran; Dan Klein
    Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output
  98. D12-1097: Billy T. M. Wong; Chunyu Kit
    Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level
  99. D12-1098: Amit Goyal; Hal Daume III; Raul Guerra
    Fast Large-Scale Approximate Graph Construction for NLP
  100. D12-1099: Doo Soon Kim; Kunal Verma; Peter Yeh
    Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings
  101. Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

  102. W12-3701: Rada Mihalcea
    Multimodal Sentiment Analysis
  103. W12-3702: Janyce Wiebe
    Subjectivity Word Sense Disambiguation
  104. W12-3703: Arturo Montejo-Ráez; Eugenio Martìnez-Cámara; M. Teresa Martìn-Valdivia; L. Alfonso Ureña-López
    Random Walk Weighting over SentiWordNet for Sentiment Polarity Detection on Twitter
  105. W12-3704: Akshat Bakliwal; Piyush Arora; Senthil Madhappan; Nikhil Kapre; Mukesh Singh; Vasudeva Varma
    Mining Sentiments from Tweets
  106. W12-3705: Muhammad Abdul-Mageed; Sandra Kuebler; Mona Diab
    SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media
  107. W12-3706: Boyan Bonev; Gema Ramìrez Sánchez; Sergio Ortiz Rojas
    Opinum: statistical sentiment analysis for opinion classification
  108. W12-3707: Amitava Das; Gambäck Björn
    Sentimantics: Conceptual Spaces for Lexical Sentiment Polarity Representation with Contextuality
  109. W12-3708: Maya Ando; Shun Ishizaki
    Analysis of Travel Review Data from Reader’s Point of View
  110. W12-3709: Alexandra Balahur; Marco Turchi
    Multilingual Sentiment Analysis using Machine Translation?
  111. W12-3710: Jie Yin; Nalin Narang; Paul Thomas; Cecile Paris
    Unifying Local and Global Agreement and Disagreement Classification in Online Debates
  112. W12-3711: Diman Ghazi; Diana Inkpen; Stan Szpakowicz
    Prior versus Contextual Emotion of a Word in a Sentence
  113. W12-3712: Phillip Smith; Mark Lee
    Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain
  114. W12-3713: Kevin Reschke; Pranav Anand
    POLITICAL-ADS: An annotated corpus for modeling event-level evaluativity
  115. W12-3714: Michal Ptaszynski; Rafal Rzepka; Kenji Araki; Yoshio Momouchi
    Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis
  116. W12-3715: Gábor Berend; Veronika Vincze
    How to Evaluate Opinionated Keyphrase Extraction?
  117. W12-3716: Josef Ruppenhofer; Ines Rehbein
    Semantic frames as an anchor representation for sentiment analysis
  118. W12-3717: Dasha Bogdanova; Paolo Rosso; Thamar Solorio
    On the Impact of Sentiment and Emotion Based Features in Detecting Online Sexual Predators
  119. Joint Conference on EMNLP and CoNLL - Shared Task

  120. W12-4501: Sameer Pradhan; Alessandro Moschitti; Nianwen Xue; Olga Uryupina; Yuchen Zhang
    CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes
  121. W12-4502: Eraldo Fernandes; Cìcero dos Santos; Ruy Milidiú
    Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution
  122. W12-4503: Anders Björkelund; Richárd Farkas
    Data-driven Multilingual Coreference Resolution using Resolver Stacking
  123. W12-4504: Chen Chen; Vincent Ng
    Combining the Best of Two Worlds: A Hybrid Approach to Multilingual Coreference Resolution
  124. W12-4505: Marcus Stamborg; Dennis Medved; Peter Exner; Pierre Nugues
    Using Syntactic Dependencies to Solve Coreferences
  125. W12-4506: Hao Xiong; Qun Liu
    ICT: System Description for CoNLL-2012
  126. W12-4507: Bo Yuan; Qingcai Chen; Yang Xiang; Xiaolong Wang; Liping Ge; Zengjian Liu; Meng Liao; Xianbo Si
    A Mixed Deterministic Model for Coreference Resolution
  127. W12-4508: Xinxin Li; Xuan Wang; Xingwei Liao
    Simple Maximum Entropy Models for Multilingual Coreference Resolution
  128. W12-4509: Desislava Zhekova; Sandra Kübler; Joshua Bonner; Marwa Ragheb; Yu-Yin Hsu
    UBIU for Multilingual Coreference Resolution in OntoNotes
  129. W12-4510: Xiaotian Zhang; Chunyang Wu; Hai Zhao
    Chinese Coreference Resolution via Ordered Filtering
  130. W12-4511: Sebastian Martschat; Jie Cai; Samuel Broscheit; Éva Mújdricza-Maydt; Michael Strube
    A Multigraph Model for Coreference Resolution
  131. W12-4512: Ruifeng Xu; Jun Xu; Jie Liu; Chengxiang Liu; Chengtian Zou; Lin Gui; Yanzhen Zheng; Peng Qu
    Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution
  132. W12-4513: Kai-Wei Chang; Rajhans Samdani; Alla Rozovskaya; Mark Sammons; Dan Roth
    Illinois-Coref: The UI System in the CoNLL-2012 Shared Task
  133. W12-4514: Heming Shou; Hai Zhao
    System paper for CoNLL-2012 shared task: Hybrid Rule-based Algorithm for Coreference Resolution.
  134. W12-4515: Olga Uryupina; Alessandro Moschitti; Massimo Poesio
    BART goes multilingual: The UniTN / Essex submission to the CoNLL-2012 Shared Task
  135. W12-4516: Baoli Li
    Learning to Model Multilingual Unrestricted Coreference in OntoNotes

2011

  1. Proceedings of the Fifteenth Conference on Computational Natural Language Learning

  2. W11-0301: Yoong Keok Lee; Aria Haghighi; Regina Barzilay
    Modeling Syntactic Context Improves Morphological Segmentation
  3. W11-0302: Emad Mohamed
    The Effect of Automatic Tokenization, Vocalization, Stemming, and {POS} Tagging on {A}rabic Dependency Parsing
  4. W11-0303: Valentin I. Spitkovsky; Hiyan Alshawi; Daniel Jurafsky
    Punctuation: Making a Point in Unsupervised Dependency Parsing
  5. W11-0304: Constantine Lignos
    Modeling Infant Word Segmentation
  6. W11-0305: Daniel Hewlett; Paul Cohen
    Word Segmentation as General Chunking
  7. W11-0306: Bruce Hayes
    (Invited talk) Computational Linguistics for Studying Language in People: Principles, Applications and Research Problems
  8. W11-0307: Andreas Vlachos; Mark Craven
    Search-based Structured Prediction applied to Biomedical Event Extraction
  9. W11-0308: Smruthi Mukund; Debanjan Ghosh; Rohini Srihari
    Using Sequence Kernels to identify Opinion Entities in Urdu
  10. W11-0309: Robert Munro
    Subword and Spatiotemporal Models for Identifying Actionable Information in {H}aitian {K}reyol
  11. W11-0310: Ruchita Sarawgi; Kailash Gajulapalli; Yejin Choi
    Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre
  12. W11-0311: Cem Akkaya; Janyce Wiebe; Alexander Conrad; Rada Mihalcea
    Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis
  13. W11-0312: Dana Angluin; Leonor Becerra-Bonache
    Effects of Meaning-Preserving Corrections on Language Learning
  14. W11-0313: Shilpa Arora; Eric Nyberg
    Assessing Benefit from Feature Feedback in Active Learning for Text Classification
  15. W11-0314: Felice Dell'Orletta; Giulia Venturi; Simonetta Montemagni
    ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
  16. W11-0315: Fei Huang; Alexander Yates; Arun Ahuja; Doug Downey
    Language Models as Representations for Weakly Supervised NLP Tasks
  17. W11-0316: Zhiyuan Liu; Xinxiong Chen; Yabin Zheng; Maosong Sun
    Automatic Keyphrase Extraction by Bridging Vocabulary Gap
  18. W11-0317: Bridget T. McInnes; Ted Pedersen; Ying Liu; Serguei V. Pakhomov; Genevieve B. Melton
    Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation
  19. W11-0318: Kohei Ozaki; Masashi Shimbo; Mamoru Komachi; Yuji Matsumoto
    Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data
  20. W11-0319: Marco Pennacchiotti; Patrick Pantel
    Automatically Building Training Examples for Entity Extraction
  21. W11-0320: Thomas Schoenemann
    Probabilistic Word Alignment under the $L_0$-norm
  22. W11-0321: Yanir Seroussi; Ingrid Zukerman; Fabian Bohnert
    Authorship Attribution with Latent Dirichlet Allocation
  23. W11-0322: Sean Szumlanski; Fernando Gomez
    Evaluating a Semantic Network Automatically Constructed from Lexical Co-occurrence on a Word Sense Disambiguation Task
  24. W11-0323: Ning Yu; Sandra Kübler
    Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains
  25. W11-0324: Xiaodan Zhu
    A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents
  26. W11-0325: Yee Whye Teh
    (Invited talk) Bayesian Tools for Natural Language Learning
  27. W11-0326: Siming Li; Girish Kulkarni; Tamara L. Berg; Alexander C. Berg; Yejin Choi
    Composing Simple Image Descriptions using Web-scale N-grams
  28. W11-0327: Gourab Kundu; Dan Roth
    Adapting Text instead of the Model: An Open Domain Approach
  29. W11-0328: Yoshimasa Tsuruoka; Yusuke Miyao; Jun'ichi Kazama
    Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
  30. W11-0329: Wen-tau Yih; Kristina Toutanova; John C. Platt; Christopher Meek
    Learning Discriminative Projections for Text Similarity Measures
  31. Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task

  32. W11-1901: Sameer Pradhan; Lance Ramshaw; Mitchell Marcus; Martha Palmer; Ralph Weischedel; Nianwen Xue
    CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes
  33. W11-1902: Heeyoung Lee; Yves Peirsman; Angel Chang; Nathanael Chambers; Mihai Surdeanu; Dan Jurafsky
    Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
  34. W11-1903: Emili Sapena; Lluìs Padró; Jordi Turmo
    RelaxCor Participation in CoNLL Shared Task on Coreference Resolution
  35. W11-1904: Kai-Wei Chang; Rajhans Samdani; Alla Rozovskaya; Nick Rizzolo; Mark Sammons; Dan Roth
    Inference Protocols for Coreference Resolution
  36. W11-1905: Anders Björkelund; Pierre Nugues
    Exploring Lexicalized Features for Coreference Resolution
  37. W11-1906: Cicero Nogueira dos Santos; Davi Lopes Carvalho
    Rule and Tree Ensembles for Unrestricted Coreference Resolution
  38. W11-1907: Jie Cai; Eva Mujdricza-Maydt; Michael Strube
    Unrestricted Coreference Resolution via Global Hypergraph Partitioning
  39. W11-1908: Olga Uryupina; Sriparna Saha; Asif Ekbal; Massimo Poesio
    Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task
  40. W11-1909: Huiwei Zhou; Yao Li; Degen Huang; Yan Zhang; Chunlong Wu; Yuansheng Yang
    Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution
  41. W11-1910: Hamidreza Kobdani; Hinrich Schuetze
    Supervised Coreference Resolution with SUCRE
  42. W11-1911: Hao Xiong; Linfeng Song; Fandong Meng; Yang Liu; Qun Liu; Yajuan Lv
    ETS: An Error Tolerable System for Coreference Resolution
  43. W11-1912: Manfred Klenner; Don Tuggener
    An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility
  44. W11-1913: Joseph Irwin; Mamoru Komachi; Yuji Matsumoto
    Narrative Schema as World Knowledge for Coreference Resolution
  45. W11-1914: Sobha Lalitha Devi; Pattabhi Rao; Vijay Sundar Ram R; M. C S; A. A
    Hybrid Approach for Coreference Resolution
  46. W11-1915: Eric Charton; Michel Gagnon
    Poly-co: a multilayer perceptron approach for coreference detection
  47. W11-1916: Jonathan K Kummerfeld; Mohit Bansal; David Burkett; Dan Klein
    Mention Detection: Heuristics for the OntoNotes annotations
  48. W11-1917: Xinxin Li; Xuan Wang; Shuhan Qi
    Coreference Resolution with Loose Transitivity Constraints
  49. W11-1918: Desislava Zhekova; Sandra Kübler
    UBIU: A Robust System for Resolving Unrestricted Coreference
  50. W11-1919: Yaqin Yang; Nianwen Xue; Peter Anick
    A Machine Learning-Based Coreference Detection System for OntoNotes
  51. W11-1920: Veselin Stoyanov; Uday Babbar; Pracheer Gupta; Claire Cardie
    Reconciling OntoNotes: Unrestricted Coreference Resolution in OntoNotes with Reconcile.
  52. W11-1921: Weipeng Chen; Muyu Zhang; Bing Qin
    Coreference Resolution System using Maximum Entropy Classifier
  53. W11-1922: Yang Song; Houfeng Wang; Jing Jiang
    Link Type Based Pre-Cluster Pair Model for Coreference Resolution

2010

  1. Proceedings of the Fourteenth Conference on Computational Natural Language Learning

  2. W10-2901: Christian Hänig
    Improvements in Unsupervised Co-Occurrence Based Parsing
  3. W10-2902: Valentin I. Spitkovsky; Hiyan Alshawi; Daniel Jurafsky; Christopher D. Manning
    Viterbi Training Improves Unsupervised Dependency Parsing
  4. W10-2903: James Clarke; Dan Goldwasser; Ming-Wei Chang; Dan Roth
    Driving Semantic Parsing from the World’s Response
  5. W10-2904: Alexander Clark
    Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages
  6. W10-2905: Jesús Santamaría; Lourdes Araujo
    Identifying Patterns for Unsupervised Grammar Induction
  7. W10-2906: David Burkett; Slav Petrov; John Blitzer; Dan Klein
    Learning Better Monolingual Models with Unannotated Bilingual Text
  8. W10-2907: Lillian Lee
    (Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information
  9. W10-2908: Zoubin Ghahramani
    (Invited Talk) Bayesian Hidden Markov Models and Extensions
  10. W10-2909: Roi Reichart; Raanan Fattal; Ari Rappoport
    Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint
  11. W10-2910: Richard Johansson; Alessandro Moschitti
    Syntactic and Semantic Structure for Opinion Expression Detection
  12. W10-2911: Roi Reichart; Omri Abend; Ari Rappoport
    Type Level Clustering Evaluation: New Measures and a POS Induction Case Study
  13. W10-2912: Constantine Lignos; Charles Yang
    Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources
  14. W10-2913: Thomas Schoenemann
    Computing Optimal Alignments for the IBM-3 Translation Model
  15. W10-2914: Dmitry Davidov; Oren Tsur; Ari Rappoport
    Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
  16. W10-2915: Markos Mylonakis; Khalil Sima’an
    Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
  17. W10-2916: Sankaranarayanan Ananthakrishnan; Rohit Prasad; David Stallard; Prem Natarajan
    A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation
  18. W10-2917: Shujian Huang; Kangxi Li; Xinyu Dai; Jiajun Chen
    Improving Word Alignment by Semi-Supervised Ensemble
  19. W10-2918: Chenghua Lin; Yulan He; Richard Everson
    A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection
  20. W10-2919: Jorge Carrillo de Albornoz; Laura Plaza; Pablo Gervás
    A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
  21. W10-2920: Micah Hodosh; Peter Young; Cyrus Rashtchian; Julia Hockenmaier
    Cross-Caption Coreference Resolution for Automatic Image Understanding
  22. W10-2921: Shane Bergsma; Dekang Lin; Dale Schuurmans
    Improved Natural Language Learning via Variance-Regularization Support Vector Machines
  23. W10-2922: Grzegorz Chrupała; Afra Alishahi
    Online Entropy-Based Model of Lexical Category Acquisition
  24. W10-2923: Su Nam Kim; Li Wang; Timothy Baldwin
    Tagging and Linking Web Forum Posts
  25. W10-2924: Rohit J. Kate; Raymond Mooney
    Joint Entity and Relation Extraction Using Card-Pyramid Parsing
  26. W10-2925: Kevin Gimpel; Dipanjan Das; Noah A. Smith
    Distributed Asynchronous Online Learning for Natural Language Processing
  27. W10-2926: Daniele Pighin; Alessandro Moschitti
    On Reverse Feature Engineering of Syntactic Tree Kernels
  28. W10-2927: Yoav Goldberg; Michael Elhadad
    Inspecting the Structural Biases of Dependency Parsing Algorithms
  29. Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task

  30. W10-3001: Richárd Farkas; Veronika Vincze; György Móra; János Csirik; György Szarvas
    The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
  31. W10-3002: Buzhou Tang; Xiaolong Wang; Xuan Wang; Bo Yuan; Shixi Fan
    A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
  32. W10-3003: Andreas Vlachos; Mark Craven
    Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
  33. W10-3004: Maria Georgescul
    A Hedgehop over a Max-Margin Framework Using Hedge Cues
  34. W10-3005: Feng Ji; Xipeng Qiu; Xuanjing Huang
    Detecting Hedge Cues and their Scopes with Average Perceptron
  35. W10-3006: Roser Morante; Vincent Van Asch; Walter Daelemans
    Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
  36. W10-3007: Erik Velldal; Lilja Øvrelid; Stephan Oepen
    Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
  37. W10-3008: Marek Rei; Ted Briscoe
    Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
  38. W10-3009: Eraldo Fernandes; Carlos Crestana; Ruy Milidiú
    Hedge Detection Using the RelHunter Approach
  39. W10-3010: Halil Kilicoglu; Sabine Bergler
    A High-Precision Approach to Detecting Hedges and their Scopes
  40. W10-3011: Xinxin Li; Jianping Shen; Xiang Gao; Xuan Wang
    Exploiting Rich Features for Detecting Hedges and their Scope
  41. W10-3012: Oscar Täckström; Sumithra Velupillai; Martin Hassel; Gunnar Eriksson; Hercules Dalianis; Jussi Karlgren
    Uncertainty Detection as Approximate Max-Margin Sequence Labelling
  42. W10-3013: Shaodian Zhang; Hai Zhao; Guodong Zhou; Bao-Liang Lu
    Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
  43. W10-3014: Qi Zhao; Chengjie Sun; Bingquan Liu; Yong Cheng
    Learning to Detect Hedges and their Scope Using CRF
  44. W10-3015: Huiwei Zhou; Xiaoyan Li; Degen Huang; Zezhong Li; Yuansheng Yang
    Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts
  45. W10-3016: Lin Chen; Barbara Di Eugenio
    A Lucene and Maximum Entropy Model Based Hedge Detection System
  46. W10-3017: David Clausen
    HedgeHunter: A System for Hedge Detection and Uncertainty Classification
  47. W10-3018: Liliana Mamani Sánchez; Baoli Li; Carl Vogel
    Exploiting CCG Structures with Tree Kernels for Speculation Detection
  48. W10-3019: Vinodkumar Prabhakaran
    Uncertainty Learning Using SVMs and CRFs
  49. W10-3020: Nobuyuki Shimizu; Hiroshi Nakagawa
    Features for Detecting Hedge Cues
  50. W10-3021: Ferenc Szidarovszky; Illés Solt; Domonkos Tikk
    A Simple Ensemble Method for Hedge Identification
  51. W10-3022: Erik Tjong Kim Sang
    A Baseline Approach for Detecting Sentences Containing Uncertainty
  52. W10-3023: Yi Zheng; Qifeng Dai; Qiming Luo; Enhong Chen
    Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier
  53. Proceedings of the Workshop on Negation and Speculation in Natural Language Processing

  54. W10-3101: Maria Liakata
    Zones of conceptualisation in scientific papers: a window to negative and speculative statements
  55. W10-3102: Hercules Dalianis; Maria Skeppstedt
    Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus
  56. W10-3103: Sumithra Velupillai
    Towards a better understanding of uncertainties and speculations in Swedish clinical text – Analysis of an initial annotation trial
  57. W10-3104: Ira Goldstein; Özlem Uzuner
    Does negation really matter?
  58. W10-3105: Veronika Vincze
    Speculation and negation annotation in natural language texts: what the case of BioScope might (not) reveal
  59. W10-3106: Julien Desclés; Olfa Makkaoui; Taouise Hacène
    Automatic annotation of speculation in biomedical texts: new perspectives and large-scale evaluation
  60. W10-3107: Aron Henriksson; Sumithra Velupillai
    Levels of certainty in knowledge-intensive corpora: an initial annotation study
  61. W10-3108: Martin Krallinger
    Importance of negations and experimental qualifiers in biomedical literature
  62. W10-3109: Ed Hovy
    Negation and modality in distributional semantics
  63. W10-3110: Isaac Councill; Ryan McDonald; Leonid Velikovich
    What’s great and what’s not: learning to classify the scope of negation for improved sentiment analysis
  64. W10-3111: Michael Wiegand; Alexandra Balahur; Benjamin Roth; Dietrich Klakow; Andrés Montoyo
    A survey on the role of negation in sentiment analysis
  65. W10-3112: Raheel Nawaz; Paul Thompson; Sophia Ananiadou
    Evaluating a meta-knowledge annotation scheme for bio-events
  66. W10-3113: Farzaneh Sarafraz; Goran Nenadic
    Using SVMs with the Command Relation features to identify negated events in biomedical literature
  67. W10-3114: Bernardo Magnini; Elena Cabrio
    Contradiction-focused qualitative evaluation of textual entailment

2009

  1. Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)

  2. W09-1101: Andrew McCallum
    Joint Inference for Natural Language Processing
  3. W09-1102: Michael C. Frank
    Modeling Word Learning As Communicative Inference
  4. W09-1103: Roi Reichart; Ari Rappoport
    Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures
  5. W09-1104: Kathrin Spreyer; Jonas Kuhn
    Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data
  6. W09-1105: Roser Morante; Walter Daelemans
    A Metalearning Approach to Processing the Scope of Negation
  7. W09-1106: Daniele Pighin; Alessandro Moschitti
    Efficient Linearization of Tree Kernel Functions
  8. W09-1107: Michael Bloodgood; K. Vijay-Shanker
    A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
  9. W09-1108: Dmitry Davidov; Roi Reichart; Ari Rappoport
    Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser
  10. W09-1109: Katrin Erk
    Representing words as regions in vector space
  11. W09-1110: Dan Roth; Kevin Small
    Interactive Feature Space Construction using Semantic Information
  12. W09-1111: Michael Paul; Roxana Girju; Chen Li
    Mining the Web for Reciprocal Relationships
  13. W09-1112: Michael Connor; Yael Gertner; Cynthia Fisher; Dan Roth
    Minimally Supervised Model of Early Language Acquisition
  14. W09-1113: Mattias Nilsson; Joakim Nivre
    Learning Where to Look: Modeling Eye Movements in Reading
  15. W09-1114: Abhishek Arun; Chris Dyer; Barry Haddow; Phil Blunsom; Adam Lopez; Philipp Koehn
    Monte Carlo inference and maximization for phrase-based translation
  16. W09-1115: Brandon Beamer; Roxana Girju
    Investigating Automatic Alignment Methods for Slide Generation from Academic Papers
  17. W09-1116: Shane Bergsma; Dekang Lin; Randy Goebel
    Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender
  18. W09-1117: Nikesh Garera; Chris Callison-Burch; David Yarowsky
    Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences
  19. W09-1118: Fredrik Olsson; Katrin Tomanek
    An Intrinsic Stopping Criterion for Committee-Based Active Learning
  20. W09-1119: Lev Ratinov; Dan Roth
    Design Challenges and Misconceptions in Named Entity Recognition
  21. W09-1120: Roi Reichart; Ari Rappoport
    Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
  22. W09-1121: Roi Reichart; Ari Rappoport
    The NVI Clustering Evaluation Measure
  23. W09-1122: Erik Tjong Kim Sang; Katja Hofmann
    Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?
  24. W09-1123: Peter Wittek; Sandor Daranyi; Chew Lim Tan
    Improving Text Classification by a Sense Spectrum Approach to Term Expansion
  25. W09-1124: Marc Vilain; Jonathan Huggins; Ben Wellner
    A simple feature-copying approach for long-distance dependencies
  26. W09-1125: Claudio Giuliano
    Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels
  27. W09-1126: Kino Coursey; Rada Mihalcea; William Moen
    Using Encyclopedic Knowledge for Automatic Topic Identification
  28. W09-1127: Sara Tonelli; Daniele Pighin
    New Features for FrameNet - WordNet Mapping
  29. Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task

  30. W09-1201: Jan Hajič; Massimiliano Ciaramita; Richard Johansson; Daisuke Kawahara; Maria Antònia Martí; Lluís Màrquez; Adam Meyers; Joakim Nivre; Sebastian Padó; Jan Štepánek; Pavel Straňák; Mihai Surdeanu; Nianwen Xue; Yi Zhang
    The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
  31. W09-1202: Qifeng Dai; Enhong Chen; Liu Shi
    An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling
  32. W09-1203: Roser Morante; Vincent Van Asch; Antal van den Bosch
    Joint Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages
  33. W09-1204: Yi Zhang; Rui Wang; Stephan Oepen
    Hybrid Multilingual Parsing with HPSG for SRL
  34. W09-1205: Andrea Gesmundo; James Henderson; Paola Merlo; Ivan Titov
    A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
  35. W09-1206: Anders Björkelund; Love Hafdell; Pierre Nugues
    Multilingual Semantic Role Labeling
  36. W09-1207: Wanxiang Che; Zhenghua Li; Yongqiang Li; Yuhang Guo; Bing Qin; Ting Liu
    Multilingual Dependency-based Syntactic and Semantic Parsing
  37. W09-1208: Hai Zhao; Wenliang Chen; Chunyu Kity; Guodong Zhou
    Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
  38. W09-1209: Hai Zhao; Wenliang Chen; Jun’ichi Kazama; Kiyotaka Uchimoto; Kentaro Torisawa
    Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
  39. W09-1210: Bernd Bohnet
    Efficient Parsing of Syntactic and Semantic Dependency Structures
  40. W09-1211: Baoli Li; Martin Emms; Saturnino Luz; Carl Vogel
    Exploring Multilingual Semantic Role Labeling
  41. W09-1212: Xavier Lluís; Stefan Bott; Lluís Màrquez
    A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing
  42. W09-1213: Ivan Meza-Ruiz; Sebastian Riedel
    Multilingual Semantic Role Labelling with Markov Logic
  43. W09-1214: Erwan Moreau; Isabelle Tellier
    The Crotal SRL System : a Generic Tool Based on Tree-structured CRF
  44. W09-1215: Han Ren; Donghong Ji; Jing Wan; Mingyao Zhang
    Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach
  45. W09-1216: Oscar Täckström
    Multilingual Semantic Parsing with a Pipeline of Linear Classifiers
  46. W09-1217: Buzhou Tang; Lu Li; Xinxin Li; Xuan Wang; Xiaolong Wang
    A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models
  47. W09-1218: Yotaro Watanabe; Masayuki Asahara; Yuji Matsumoto
    Multilingual Syntactic-Semantic Dependency Parsing with Three-Stage Approximate Max-Margin Linear Models
  48. W09-1219: Daniel Zeman
    A Simple Generative Pipeline Approach to Dependency Parsing and Semantic Role Labeling
  49. Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing

  50. W09-1901: Caroline Gasperin
    Active Learning for Anaphora Resolution
  51. W09-1902: Katrin Tomanek; Florian Laws; Udo Hahn; Hinrich Schütze
    On Proper Unit Selection in Active Learning: Co-Selection Effects for Named Entity Recognition
  52. W09-1903: Shilpa Arora; Eric Nyberg; Carolyn P. Rosé
    Estimating Annotation Cost for Active Learning in a Multi-Annotator Environment
  53. W09-1904: Pei-Yun Hsueh; Prem Melville; Vikas Sindhwani
    Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria
  54. W09-1905: Alexis Palmer; Taesun Moon; Jason Baldridge
    Evaluating Automation Strategies in Language Documentation
  55. W09-1906: Katrin Tomanek; Fredrik Olsson
    A Web Survey on the Use of Active Learning to Support Annotation of Text Data
  56. W09-1907: Prem Melville; Vikas Sindhwani
    Active Dual Supervision: Reducing the Cost of Annotating Examples and Features
  57. W09-1908: Vamshi Ambati; Jaime Carbonell
    Proactive Learning for Building Machine Translation Systems for Minority Languages

2008

  1. CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning

  2. W08-2101: Paola Merlo; Gabriele Musillo
    Semantic Parsing for High-Precision Semantic Role Labelling
  3. W08-2102: Xavier Carreras; Michael Collins; Terry Koo
    TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing
  4. W08-2103: Tomoya Iwakura; Seishi Okamoto
    A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking
  5. W08-2104: Lilja Ovrelid
    Linguistic features in data-driven dependency parsing
  6. W08-2105: Rohit Kate
    Transforming Meaning Representation Grammars to Improve Semantic Parsing
  7. W08-2106: Hemant Misra; Olivier Cappe; Francois Yvon
    Using LDA to detect semantically incoherent documents
  8. W08-2107: Carlos Ramisch; Aline Villavicencio; Leonardo Moura; Marco Idiart
    Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity
  9. W08-2108: Afra Alishahi; Afsaneh Fazly; Suzanne Stevenson
    Fast Mapping in Word Learning: What Probabilities Tell Us
  10. W08-2109: Daniel Blanchard; Jeffrey Heinz
    Improving Word Segmentation by Simultaneously Learning Phonotactics
  11. W08-2110: Harmony Marchal; Benoît Lemaire; Maryse Bianco; Philippe Dessus
    A MDL-based Model of Gender Knowledge Acquisition
  12. W08-2111: Michael Connor; Yael Gertner; Cynthia Fisher; Dan Roth
    Baby SRL: Modeling Early Language Acquisition.
  13. W08-2112: Christopher Parisien; Afsaneh Fazly; Suzanne Stevenson
    An Incremental Bayesian Model for Learning Syntactic Categories
  14. W08-2113: Gaël Dias; Raycho Mukelov; Guillaume Cleuziou
    Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts
  15. W08-2114: Hansen A. Schwartz; Fernando Gomez
    Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation
  16. W08-2115: Han Ren; Donghong Ji; Jing Wan; Lei Han
    Automatic Chinese Catchword Extraction Based on Time Series Analysis
  17. W08-2116: Andrew B. Goldberg; Xiaojin Zhu; Charles R. Dyer; Mohamed Eldawy; Lijie Heng
    Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout
  18. W08-2117: John Lee
    A Nearest-Neighbor Approach to the Automatic Analysis of Ancient Greek Morphology
  19. W08-2118: Thuy Linh Nguyen; Stephan Vogel
    Context-based Arabic Morphological Analysis for Machine Translation
  20. W08-2119: Thai Phuong Nguyen; Akira Shimazu; Tu Bao Ho; Minh Le Nguyen; Vinh Van Nguyen
    A Tree-to-String Phrase-based Model for Statistical Machine Translation
  21. W08-2120: Giuseppe Di Fabbrizio; Amanda Stent; Srinivas Bangalore
    Trainable Speaker-Based Referring Expression Generation
  22. W08-2121: Mihai Surdeanu; Richard Johansson; Adam Meyers; Lluís Màrquez; Joakim Nivre
    The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
  23. W08-2122: James Henderson; Paola Merlo; Gabriele Musillo; Ivan Titov
    A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
  24. W08-2123: Richard Johansson; Pierre Nugues
    Dependency-based Syntactic–Semantic Analysis with PropBank and NomBank
  25. W08-2124: Xavier Lluís; Lluís Màrquez
    A Joint Model for Parsing Syntactic and Semantic Dependencies
  26. W08-2125: Sebastian Riedel; Ivan Meza-Ruiz
    Collective Semantic Role Labelling with Markov Logic
  27. W08-2126: Yi Zhang; Rui Wang; Hans Uszkoreit
    Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources
  28. W08-2127: Hai Zhao; Chunyu Kit
    Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models
  29. W08-2128: Roser Morante; Walter Daelemans; Vincent Van Asch
    A Combined Memory-Based Semantic Role Labeler of English
  30. W08-2129: Alexander Volokh; Günter Neumann
    A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling
  31. W08-2130: Lu Li; Shixi Fan; Xuan Wang; Xiaolong Wang
    Discriminative Learning of Syntactic and Semantic Dependencies
  32. W08-2131: Deniz Yuret; Mehmet Ali Yatbaz; Ahmet Engin Ural
    Discriminative vs. Generative Approaches in Semantic Role Labeling
  33. W08-2132: Yotaro Watanabe; Masakazu Iwatate; Masayuki Asahara; Yuji Matsumoto
    A Pipeline Approach for Syntactic and Semantic Dependency Parsing
  34. W08-2133: Joo-Young Lee; Han-Cheol Cho; Hae-Chang Rim
    Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information
  35. W08-2134: Wanxiang Che; Zhenghua Li; Yuxuan Hu; Yongqiang Li; Bing Qin; Ting Liu; Sheng Li
    A Cascaded Syntactic and Semantic Dependency Parsing System
  36. W08-2135: Weiwei Sun; Hongzhan Li; Zhifang Sui
    The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models
  37. W08-2136: Yvonne Samuelsson; Oscar Täckström; Sumithra Velupillai; Johan Eklund; Mark Fishel; Markus Saers
    Mixing and Blending Syntactic and Semantic Dependencies
  38. W08-2137: Hongling Wang; Honglin Wang; Guodong Zhou; Qiaoming Zhu
    Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering
  39. W08-2138: Massimiliano Ciaramita; Giuseppe Attardi; Felice Dell'Orletta; Mihai Surdeanu
    DeSRL: A Linear-Time Semantic Role Labeling System
  40. W08-2139: Enhong Chen; Liu Shi; Dawei Hu
    Probabilistic Model for Syntactic and Semantic Dependency Parsing
  41. W08-2140: David Vickrey; Daphne Koller
    Applying Sentence Simplification to the CoNLL-2008 Shared Task

2007

  1. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

  2. D07-1001: BBEJames Clarke]; BBEMirella Lapata]
    Modelling Compression with Discourse Constraints
  3. D07-1002: BBEDan Shen]; BBEMirella Lapata]
    Using Semantic Roles to Improve Question Answering
  4. D07-1003: BBEMengqiu Wang]; BBENoah A. Smith]; BBETeruko Mitamura]
    What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
  5. D07-1004: BBEYouzheng Wu]; BBERuiqiang Zhang]; BBEXinhui Hu]; BBEHideki Kashioka]
    Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
  6. D07-1005: BBEShankar Kumar]; BBEFranz J. Och]; BBEWolfgang Macherey]
    Improving Word Alignment with Bridge Languages
  7. D07-1006: BBEAlexander Fraser]; BBEDaniel Marcu]
    Getting the Structure Right for Word Alignment: LEAF
  8. D07-1007: BBEMarine Carpuat]; BBEDekai Wu]
    Improving Statistical Machine Translation Using Word Sense Disambiguation
  9. D07-1008: BBETrevor Cohn]; BBEMirella Lapata]
    Large Margin Synchronous Generation and its Application to Sentence Compression
  10. D07-1009: BBEErdong Chen]; BBEBenjamin Snyder]; BBERegina Barzilay]
    Incremental Text Structuring with Online Hierarchical Ranking
  11. D07-1010: BBEBen Wellner]; BBEJames Pustejovsky]
    Automatically Identifying the Arguments of Discourse Connectives
  12. D07-1011: BBEAlbert Gatt]; BBEKees van Deemter]
    Incremental Generation of Plural Descriptions: Similarity and Partitioning
  13. D07-1012: BBEJoachim Wagner]; BBEJennifer Foster]; BBEJosef van Genabith]
    A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
  14. D07-1013: BBERyan McDonald]; BBEJoakim Nivre]
    Characterizing the Errors of Data-Driven Dependency Parsing Models
  15. D07-1014: BBEDavid A. Smith]; BBENoah A. Smith]
    Probabilistic Models of Nonprojective Dependency Trees
  16. D07-1015: BBETerry Koo]; BBEAmir Globerson]; BBEXavier Carreras]; BBEMichael Collins]
    Structured Prediction Models via the Matrix-Tree Theorem
  17. D07-1016: BBEBeatrice Alex]; BBEAmit Dubey]; BBEFrank Keller]
    Using Foreign Inclusion Detection to Improve Parsing Performance
  18. D07-1017: BBERahul Bhagat]; BBEPatrick Pantel]; BBEEduard Hovy]
    LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
  19. D07-1018: BBEGemma Boleda]; BBESabine Schulte im Walde]; BBEToni Badia]
    Modelling Polysemy in Adjective Classes by Multi-Label Classification
  20. D07-1019: BBEQing Chen]; BBEMu Li]; BBEMing Zhou]
    Improving Query Spelling Correction Using Web Search Results
  21. D07-1020: BBEYing Chen]; BBEJames Martin]
    Towards Robust Unsupervised Personal Name Disambiguation
  22. D07-1021: BBEKenneth Church]; BBETed Hart]; BBEJianfeng Gao]
    Compressing Trigram Language Models With Golomb Coding
  23. D07-1022: BBEShay B. Cohen]; BBENoah A. Smith]
    Joint Morphological and Syntactic Disambiguation
  24. D07-1023: BBESajib Dasgupta]; BBEVincent Ng]
    Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
  25. D07-1024: BBEGunes Erkan]; BBEArzucan Ozgur]; BBEDragomir R. Radev]
    Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing
  26. D07-1025: BBEDayne Freitag]; BBEShahram Khadivi]
    A Sequence Alignment Model Based on the Averaged Perceptron
  27. D07-1026: BBEClaudio Giuliano]; BBEAlfio Gliozzo]
    Instance Based Lexical Entailment for Ontology Population
  28. D07-1027: BBEYuqing Guo]; BBEHaifeng Wang]; BBEJosef van Genabith]
    Recovering Non-Local Dependencies for Chinese
  29. D07-1028: BBEDeirdre Hogan]; BBEConor Cafferkey]; BBEAoife Cahill]; BBEJosef van Genabith]
    Exploiting Multi-Word Units in History-Based Probabilistic Generation
  30. D07-1029: BBEFei Huang]; BBEKishore Papineni]
    Hierarchical System Combination for Machine Translation
  31. D07-1030: BBEXiaoguang Hu]; BBEHaifeng Wang]; BBEHua Wu]
    Using RBMT Systems to Produce Bilingual Corpus for SMT
  32. D07-1031: BBEMark Johnson]
    Why Doesn’t EM Find Good HMM POS-Taggers?
  33. D07-1032: BBEDaisuke Kawahara]; BBESadao Kurohashi]
    Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser
  34. D07-1033: BBEJun’ichi Kazama]; BBEKentaro Torisawa]
    A New Perceptron Algorithm for Sequence Labeling with Non-Local Features
  35. D07-1034: BBEOi Yee Kwong]; BBEBenjamin K. Tsou]
    Extending a Thesaurus in the Pan-Chinese Context
  36. D07-1035: BBEJingjing Liu]; BBEYunbo Cao]; BBEChin-Yew Lin]; BBEYalou Huang]; BBEMing Zhou]
    Low-Quality Product Review Detection in Opinion Summarization
  37. D07-1036: BBEYajuan Lu]; BBEJin Huang]; BBEQun Liu]
    Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
  38. D07-1037: BBEIrina Matveeva]; BBEGina-Anne Levow]
    Topic Segmentation with Hybrid Document Indexing
  39. D07-1038: BBEJonathan May]; BBEKevin Knight]
    Syntactic Re-Alignment Models for Machine Translation
  40. D07-1039: BBEDiana McCarthy]; BBESriram Venkatapathy]; BBEAravind Joshi]
    Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
  41. D07-1040: BBERada Mihalcea]; BBEHakan Ceylan]
    Explorations in Automatic Book Summarization
  42. D07-1041: BBETaesun Moon]; BBEJason Baldridge]
    Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
  43. D07-1042: BBESebastian Padó]; BBEUlrike Padó]; BBEKatrin Erk]
    Flexible, Corpus-Based Modelling of Human Plausibility Judgements
  44. D07-1043: BBEAndrew Rosenberg]; BBEJulia Hirschberg]
    V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
  45. D07-1044: BBEIssei Sato]; BBEHiroshi Nakagawa]
    Bayesian Document Generative Model with Explicit Multiple Topics
  46. D07-1045: BBEHolger Schwenk]; BBEMarta R. Costa-jussa]; BBEJose A. R. Fonollosa]
    Smooth Bilingual $N$-Gram Translation
  47. D07-1046: BBEDanny Shacham]; BBEShuly Wintner]
    Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination
  48. D07-1047: BBEKrysta Svore]; BBELucy Vanderwende]; BBEChristopher Burges]
    Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
  49. D07-1048: BBEHironori Takeuchi]; BBEL Venkata Subramaniam]; BBETetsuya Nasukawa]; BBEShourya Roy]
    Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers
  50. D07-1049: BBEDavid Talbot]; BBEMiles Osborne]
    Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap
  51. D07-1050: BBETakaaki Tanaka]; BBEFrancis Bond]; BBETimothy Baldwin]; BBESanae Fujita]; BBEChikara Hashimoto]
    Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
  52. D07-1051: BBEKatrin Tomanek]; BBEJoachim Wermter]; BBEUdo Hahn]
    An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data
  53. D07-1052: BBEYannick Versley]
    Antecedent Selection Techniques for High-Recall Coreference Resolution
  54. D07-1053: BBETonio Wandmacher]; BBEJean-Yves Antoine]
    Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component
  55. D07-1054: BBEHirofumi Yamamoto]; BBEEiichiro Sumita]
    Bilingual Cluster Based Models for Statistical Machine Translation
  56. D07-1055: BBERichard Zens]; BBESasa Hasan]; BBEHermann Ney]
    A Systematic Comparison of Training Criteria for Statistical Machine Translation
  57. D07-1056: BBEDongdong Zhang]; BBEMu Li]; BBEChi-Ho Li]; BBEMing Zhou]
    Phrase Reordering Model Integrating Syntactic Knowledge for SMT
  58. D07-1057: BBEShanheng Zhao]; BBEHwee Tou Ng]
    Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach
  59. D07-1058: BBEWillem Zuidema]
    Parsimonious Data-Oriented Parsing
  60. D07-1059: BBEAndy Chiu]; BBEPascal Poupart]; BBEChrysanne DiMarco]
    Generating Lexical Analogies Using Dependency Relations
  61. D07-1060: BBESaif Mohammad]; BBEIryna Gurevych]; BBEGraeme Hirst]; BBETorsten Zesch]
    Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance
  62. D07-1061: BBEThad Hughes]; BBEDaniel Ramage]
    Lexical Semantic Relatedness with Random Graph Walks
  63. D07-1062: BBEYudong Liu]; BBEAnoop Sarkar]
    Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
  64. D07-1063: BBEAkihiro Tamura]; BBEHiroya Takamura]; BBEManabu Okumura]
    Japanese Dependency Analysis Using the Ancestor-Descendant Relation
  65. D07-1064: BBEMasashi Shimbo]; BBEKazuo Hara]
    A Discriminative Learning Model for Coordinate Conjunctions
  66. D07-1065: BBEDenis Filimonov]; BBEMary Harper]
    Recovery of Empty Nodes in Parse Structures
  67. D07-1066: BBEInes Rehbein]; BBEJosef van Genabith]
    Treebank Annotation Schemes and Parser Evaluation for German
  68. D07-1067: BBEQinfeng Shi]; BBEYasemin Altun]; BBEAlex Smola]; BBES.V.N. Vishwanathan]
    Semi-Markov Models for Sequence Segmentation
  69. D07-1068: BBEYotaro Watanabe]; BBEMasayuki Asahara]; BBEYuji Matsumoto]
    A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields
  70. D07-1069: BBEAnthony Fader]; BBEDragomir R. Radev]; BBEMichael H. Crespin]; BBEBurt L. Monroe]; BBEKevin M. Quinn]; BBEMichael Colaresi]
    MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality
  71. D07-1070: BBEDavid A. Smith]; BBEJason Eisner]
    Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
  72. D07-1071: BBELuke Zettlemoyer]; BBEMichael Collins]
    Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
  73. D07-1072: BBEPercy Liang]; BBESlav Petrov]; BBEMichael Jordan]; BBEDan Klein]
    The Infinite PCFG Using Hierarchical Dirichlet Processes
  74. D07-1073: BBEJun’ichi Kazama]; BBEKentaro Torisawa]
    Exploiting Wikipedia as External Knowledge for Named Entity Recognition
  75. D07-1074: BBESilviu Cucerzan]
    Large-Scale Named Entity Disambiguation Based on Wikipedia Data
  76. D07-1075: BBESiddharth Patwardhan]; BBEEllen Riloff]
    Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions
  77. D07-1076: BBEGuoDong Zhou]; BBEMin Zhang]; BBEDongHong Ji]; BBEQiaoMing Zhu]
    Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
  78. D07-1077: BBEChao Wang]; BBEMichael Collins]; BBEPhilipp Koehn]
    Chinese Syntactic Reordering for Statistical Machine Translation
  79. D07-1078: BBEWei Wang]; BBEKevin Knight]; BBEDaniel Marcu]
    Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
  80. D07-1079: BBESteve DeNeefe]; BBEKevin Knight]; BBEWei Wang]; BBEDaniel Marcu]
    What Can Syntax-Based MT Learn from Phrase-Based MT?
  81. D07-1080: BBETaro Watanabe]; BBEJun Suzuki]; BBEHajime Tsukada]; BBEHideki Isozaki]
    Online Large-Margin Training for Statistical Machine Translation
  82. D07-1081: BBEJingyang Li]; BBEMaosong Sun]
    Scalable Term Selection for Text Categorization
  83. D07-1082: BBEJingbo Zhu]; BBEEduard Hovy]
    Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem
  84. D07-1083: BBEJun Suzuki]; BBEAkinori Fujino]; BBEHideki Isozaki]
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
  85. D07-1084: BBEEdward Loper]
    Finding Good Sequential Model Structures using Output Transformations
  86. D07-1085: BBETee Kiah Chia]; BBEHaizhou Li]; BBEHwee Tou Ng]
    A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
  87. D07-1086: BBEShane Bergsma]; BBEQin Iris Wang]
    Learning Noun Phrase Query Segmentation
  88. D07-1087: BBESander Canisius]; BBECaroline Sporleder]
    Bootstrapping Information Extraction from Field Books
  89. D07-1088: BBEDonghui Feng]; BBEGully Burns]; BBEEduard Hovy]
    Extracting Data Records from Unstructured Biomedical Full Text
  90. D07-1089: BBEAriel Schwartz]; BBEAnna Divoli]; BBEMarti Hearst]
    Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding
  91. D07-1090: BBEThorsten Brants]; BBEAshok C. Popat]; BBEPeng Xu]; BBEFranz J. Och]; BBEJeffrey Dean]
    Large Language Models in Machine Translation
  92. D07-1091: BBEPhilipp Koehn]; BBEHieu Hoang]
    Factored Translation Models
  93. D07-1092: BBEPhilippe Langlais]; BBEAlexandre Patry]
    Translating Unknown Words by Analogical Learning
  94. D07-1093: BBEAlexandre Bouchard]; BBEPercy Liang]; BBEThomas Griffiths]; BBEDan Klein]
    A Probabilistic Approach to Diachronic Phonology
  95. D07-1094: BBESlav Petrov]; BBEAdam Pauls]; BBEDan Klein]
    Learning Structured Models for Phone Recognition
  96. D07-1095: BBEL. Karl Branting]
    Inducing Search Keys for Name Filtering
  97. D07-1096: BBEJoakim Nivre]; BBEJohan Hall]; BBESandra Kübler]; BBERyan McDonald]; BBEJens Nilsson]; BBESebastian Riedel]; BBEDeniz Yuret]
    The CoNLL 2007 Shared Task on Dependency Parsing
  98. D07-1097: BBEJohan Hall]; BBEJens Nilsson]; BBEJoakim Nivre]; BBEGülsen Eryigit]; BBEBeáta Megyesi]; BBEMattias Nilsson]; BBEMarkus Saers]
    Single Malt or Blended? A Study in Multilingual Parser Optimization
  99. D07-1098: BBEXiangyu Duan]; BBEJun Zhao]; BBEBo Xu]
    Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing
  100. D07-1099: BBEIvan Titov]; BBEJames Henderson]
    Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model

2006

  1. Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)

  2. W06-2901: Walter Daelemans
    A Mission for Computational Natural Language Learning
  3. W06-2902: Ivan Titov; James Henderson
    Porting Statistical Parsers with Data-Defined Kernels
  4. W06-2903: Slav Petrov; Leon Barrett; Dan Klein
    Non-Local Modeling with a Mixture of PCFGs
  5. W06-2904: Qin Iris Wang; Colin Cherry; Dan Lizotte; Dale Schuurmans
    Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization
  6. W06-2905: Willem Zuidema
    What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions.
  7. W06-2906: Nikesh Garera; David Yarowsky
    Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora
  8. W06-2907: Oren Glickman; Ido Dagan; Walter Daelemans; Mikaela Keller; Samy Bengio
    Investigating Lexical Substitution Scoring for Subtitle Generation
  9. W06-2908: Jun'ichi Kazama; Kentaro Torisawa
    Semantic Role Recognition Using Kernels on Weighted Marked Ordered Labeled Trees
  10. W06-2909: Alessandro Moschitti; Daniele Pighin; Roberto Basili
    Semantic Role Labeling via Tree Kernel Joint Inference
  11. W06-2910: Sabine Schulte im Walde
    Can Human Verb Associations Help Identify Salient Features for Semantic Verb Classification?
  12. W06-2911: Rie Kubota Ando
    Applying Alternating Structure Optimization to Word Sense Disambiguation
  13. W06-2912: Rens Bod
    Unsupervised Parsing with U-DOP
  14. W06-2913: Michaela Atterer; Hinrich Schütze
    A Lattice-Based Framework for Enhancing Statistical Parsers with Information from Unlabeled Corpora
  15. W06-2914: Maria Georgescul; Alexander Clark; Susan Armstrong
    Word Distributions for Thematic Segmentation in a Support Vector Machine Approach
  16. W06-2915: Wei-Hao Lin; Theresa Wilson; Janyce Wiebe; Alexander Hauptmann
    Which Side are You on? Identifying Perspectives at the Document and Sentence Levels
  17. W06-2916: David J. Brooks
    Unsupervised Grammar Induction by Distribution and Attachment
  18. W06-2917: Alexander Clark; Rémi Eyraud
    Learning Auxiliary Fronting with Grammatical Inference
  19. W06-2918: Andrew Smith; Miles Osborne
    Using Gazetteers in Discriminative Information Extraction
  20. W06-2919: Partha Pratim Talukdar; Thorsten Brants; Mark Liberman; Fernando Pereira
    A Context Pattern Induction Method for Named Entity Extraction
  21. W06-2920: Sabine Buchholz; Erwin Marsi
    CoNLL-X Shared Task on Multilingual Dependency Parsing
  22. W06-2921: Yuval Krymolowski
    The Treebanks Used in the Shared Task
  23. W06-2922: Giuseppe Attardi
    Experiments with a Multilanguage Non-Projective Dependency Parser
  24. W06-2923: Eckhard Bick
    LingPars, a Linguistically Inspired, Language-Independent Machine Learner for Dependency Treebanks
  25. W06-2924: Sander Canisius; Toine Bogers; Antal van den Bosch; Jeroen Geertzen; Erik Tjong Kim Sang
    Dependency Parsing by Inference over High-recall Dependency Predictions
  26. W06-2925: Xavier Carreras; Mihai Surdeanu; Lluís Màrquez
    Projective Dependency Parsing with Perceptron
  27. W06-2926: Ming-Wei Chang; Quang Do; Dan Roth
    A Pipeline Model for Bottom-Up Dependency Parsing
  28. W06-2927: Yuchang Cheng; Masayuki Asahara; Yuji Matsumoto
    Multi-lingual Dependency Parsing at NAIST
  29. W06-2928: Simon Corston-Oliver; Anthony Aue
    Dependency Parsing with Reference to Slovene, Spanish and Swedish
  30. W06-2929: Markus Dreyer; David A. Smith; Noah A. Smith
    Vine Parsing and Minimum Risk Reranking for Speed and Precision
  31. W06-2930: Richard Johansson; Pierre Nugues
    Investigating Multilingual Dependency Parsing
  32. W06-2931: Ting Liu; Jinshan Ma; Huijia Zhu; Sheng Li
    Dependency Parsing Based on Dynamic Local Optimization
  33. W06-2932: Ryan McDonald; Kevin Lerman; Fernando Pereira
    Multilingual Dependency Analysis with a Two-Stage Discriminative Parser
  34. W06-2933: Joakim Nivre; Johan Hall; Jens Nilsson; Gül sen Eryi git; Svetoslav Marinov
    Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines
  35. W06-2934: Sebastian Riedel; Ruket Cakc; Ivan Meza-Ruiz
    Multi-lingual Dependency Parsing with Incremental Integer Linear Programming
  36. W06-2935: Michael Schiehlen; Kristina Spranger
    Language Independent Probabilistic Context-Free Parsing Bolstered by Machine Learning
  37. W06-2936: Nobuyuki Shimizu
    Maximum Spanning Tree Algorithm for Non-projective Labeled Dependency Parsing
  38. W06-2937: Yu-Chieh Wu; Yue-Shi Lee; Jie-Chi Yang
    The Exploration of Deterministic and Efficient Dependency Parsing
  39. W06-2938: Deniz Yuret
    Dependency Parsing as a Classication Problem

2005

  1. Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)

  2. W05-0601: Roberto Basili; Marco Cammisa; Alessandro Moschitti
    Effective use of WordNet Semantics via Kernel-Based Learning
  3. W05-0602: Ruifang Ge; Raymond Mooney
    A Statistical Semantic Parser that Integrates Syntax and Semantics
  4. W05-0603: Preslav Nakov; Marti Hearst
    Search Engine Statistics Beyond the n-Gram: Application to Noun Compound Bracketing
  5. W05-0604: Dayne Freitag; Matthias Blume; John Byrnes; Edmond Chow; Sadik Kapadia; Richard Rohwer; Zhiqiang Wang
    New Experiments in Distributional Representations of Synonymy
  6. W05-0605: Cheng Niu; Wei Li; Rohini K. Srihari; Huifeng Li
    Word Independent Context Pair Classification Model for Word Sense Disambiguation
  7. W05-0606: Wesley Mackay; Grzegorz Kondrak
    Computing Word Similarity and Identifying Cognates with Pair Hidden Markov Models
  8. W05-0607: Avik Sarkar; Paul H. Garthwaite; Anne De Roeck
    A Bayesian Mixture Model for Term Re-occurrence and Burstiness
  9. W05-0608: Alfio Gliozzo; Carlo Strapparava
    Domain Kernels for Text Categorization
  10. W05-0609: Xin Li; Dan Roth
    Discriminative Training of Clustering Functions: Theory and Experiments with Entity Identification
  11. W05-0610: Yaoyong Li; Kalina Bontcheva; Hamish Cunningham
    Using Uneven Margins SVM and Perceptron for Information Extraction
  12. W05-0611: Antal van den Bosch; Walter Daelemans
    Improving Sequence Segmentation Learning by Predicting Trigrams
  13. W05-0612: Colin Cherry; Shane Bergsma
    An Expectation Maximization Approach to Pronoun Resolution
  14. W05-0613: Jason Baldridge; Alex Lascarides
    Probabilistic Head-Driven Parsing for Discourse Structure
  15. W05-0614: Michael Fleischman; Deb Roy
    Intentional Context in Situated Natural Language Learning
  16. W05-0615: Sharon Goldwater; Mark Johnson
    Representational Bias in Unsupervised Learning of Syllable Structure
  17. W05-0616: Nicolas Stroppa; François Yvon
    An Analogical Learner for Morphological Analysis
  18. W05-0617: Dayne Freitag
    Morphology Induction from Term Clusters
  19. W05-0618: Tomasz Marciniak; Michael Strube
    Beyond the Pipeline: Discrete Optimization in NLP
  20. W05-0619: Ben Hachey; Beatrice Alex; Markus Becker
    Investigating the Effects of Selective Sampling on the Annotation Task
  21. W05-0620: Xavier Carreras; Lluís Màrquez
    Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling
  22. W05-0621: Akshar Bharati; Sriram Venkatapathy; Prashanth Reddy
    Inferring Semantic Roles Using Sub-Categorization Frames and Maximum Entropy Model
  23. W05-0622: Trevor Cohn; Philip Blunsom
    Semantic Role Labelling with Tree Conditional Random Fields
  24. W05-0623: Aria Haghighi; Kristina Toutanova; Christopher Manning
    A Joint Model for Semantic Role Labeling
  25. W05-0624: Richard Johansson; Pierre Nugues
    Sparse Bayesian Classification of Predicate Arguments
  26. W05-0625: Peter Koomen; Vasin Punyakanok; Dan Roth; Wen-tau Yih
    Generalized Inference with Multiple Semantic Role Labeling Systems
  27. W05-0626: Chi-San Lin; Tony C. Smith
    Semantic Role Labeling via Consensus in Pattern-Matching
  28. W05-0627: Ting Liu; Wanxiang Che; Sheng Li; Yuxuan Hu; Huaijun Liu
    Semantic Role Labeling System Using Maximum Entropy Classifier
  29. W05-0628: Lluís Màrquez; Pere Comas; Jesús Giménez; Neus Català
    Semantic Role Labeling as Sequential Tagging
  30. W05-0629: Tomohiro Mitsumori; Masaki Murata; Yasushi Fukuda; Kouichi Doi; Hirohumi Doi
    Semantic Role Labeling Using Support Vector Machines
  31. W05-0630: Alessandro Moschitti; Ana-Maria Giuglea; Bonaventura Coppola; Roberto Basili
    Hierarchical Semantic Role Labeling
  32. W05-0631: Necati Ercan Ozgencil; Nancy McCracken
    Semantic Role Labeling Using libSVM
  33. W05-0632: Kyung-Mi Park; Hae-Chang Rim
    Maximum Entropy Based Semantic Role Labeling
  34. W05-0633: Simone Paolo Ponzetto; Michael Strube
    Semantic Role Labeling Using Lexical Statistical Information
  35. W05-0634: Sameer Pradhan; Kadri Hacioglu; Wayne Ward; James H. Martin; Daniel Jurafsky
    Semantic Role Chunking Combining Complementary Syntactic Views
  36. W05-0635: Mihai Surdeanu; Jordi Turmo
    Semantic Role Labeling Using Complete Syntactic Analysis
  37. W05-0636: Charles Sutton; Andrew McCallum
    Joint Parsing and Semantic Role Labeling
  38. W05-0637: Erik Tjong Kim Sang; Sander Canisius; Antal van den Bosch; Toine Bogers
    Applying Spelling Error Correction Techniques for Improving Semantic Role Labelling
  39. W05-0638: Tzong-Han Tsai; Chia-Wei Wu; Yu-Chun Lin; Wen-Lian Hsu
    Exploiting Full Parsing Information to Label Semantic Roles Using an Ensemble of ME and SVM via Integer Linear Programming
  40. W05-0639: Szu-ting Yi; Martha Palmer
    The Integration of Syntactic Parsing and Semantic Role Labeling

2004

  1. Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004) at HLT-NAACL 2004

  2. W04-2401: BBEDan Roth]; BBEWen-tau Yih]
    A Linear Programming Formulation for Global Inference in Natural Language Tasks
  3. W04-2402: BBERie Kubota Ando]
    Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis
  4. W04-2403: BBEAlessandro Moschitti]; BBECosmin Adrian Bejan]
    A Semantic Kernel for Predicate Argument Classification
  5. W04-2404: BBESaif Mohammad]; BBETed Pedersen]
    Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation
  6. W04-2405: BBERada Mihalcea]
    Co-training and Self-training for Word Sense Disambiguation
  7. W04-2406: BBEAmruta Purandare]; BBETed Pedersen]
    Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces
  8. W04-2407: BBEJoakim Nivre]; BBEJohan Hall]; BBEJens Nilsson]
    Memory-Based Dependency Parsing
  9. W04-2408: BBEHiroya Takamura]; BBEYuji Matsumoto]; BBEHiroyasu Yamada]
    Modeling Category Structures with a Kernel Function
  10. W04-2409: BBEFumiyo Fukumoto]; BBEYoshimi Suzuki]
    A Comparison of Manual and Automatic Constructions of Category Hierarchy for Classifying Large Corpora
  11. W04-2410: BBEMark McLauchlan]
    Thesauruses for Prepositional Phrase Attachment
  12. W04-2411: BBEVivian Tsang]; BBESuzanne Stevenson]
    Calculating Semantic Distance between Word Sense Probability Distributions
  13. W04-2412: BBEXavier Carreras]; BBELluís Màrquez]
    Introduction to the CoNLL-2004 Shared Task: Semantic Role Labeling
  14. W04-2413: BBEUlrike Baldewein]; BBEKatrin Erk]; BBESebastian Padó]; BBEDetlef Prescher]
    Semantic Role Labelling With Chunk Sequences
  15. W04-2414: BBEAntal van den Bosch]; BBESander Canisius]; BBEWalter Daelemans]; BBEIris Hendrickx]; BBEErik Tjong Kim Sang]
    Memory-based semantic role labeling: Optimizing features, algorithm, and output
  16. W04-2415: BBEXavier Carreras]; BBELluís Màrquez]; BBEGrzegorz Chrupała]
    Hierarchical Recognition of Propositional Arguments with Perceptrons
  17. W04-2416: BBEKadri Hacioglu]; BBESameer Pradhan]; BBEWayne Ward]; BBEJames H. Martin]; BBEDaniel Jurafsky]
    Semantic Role Labeling by Tagging Syntactic Chunks
  18. W04-2417: BBEDerrick Higgins]
    A transformation-based approach to argument labeling
  19. W04-2418: BBEBeata Kouchnir]
    A Memory-Based Approach for Semantic Role Labeling
  20. W04-2419: BBEJoon-Ho Lim]; BBEYoung-Sook Hwang]; BBESo-Young Park]; BBEHae-Chang Rim]
    Semantic Role Labeling using Maximum Entropy Model
  21. W04-2420: BBEKyung-Mi Park]; BBEYoung-Sook Hwang]; BBEHae-Chang Rim]
    Two-Phase Semantic Role Labeling based on Support Vector Machines
  22. W04-2421: BBEVasin Punyakanok]; BBEDan Roth]; BBEWen-tau Yih]; BBEDav Zimak]; BBEYuancheng Tu]
    Semantic Role Labeling Via Generalized Inference Over Classifiers
  23. W04-2422: BBEKen Williams]; BBEChristopher Dozier]; BBEAndrew McCulloh]
    Learning Transformation Rules for Semantic Role Labeling
  24. W04-2423: BBEChristopher D. Manning]
    Language Learning: Beyond Thunderdome
  25. W04-2424: BBEMartha Palmer]
    Putting Meaning into Your Trees

2003

  1. Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003

  2. W03-0401: BBEYusuke Miyao]; BBEJun'ichi Tsujii]
    A model of syntactic disambiguation based on lexicalized grammars
  3. W03-0402: BBELibin Shen]; BBEAravind K. Joshi]
    An SVM-based voting algorithm with application to parse reranking
  4. W03-0403: BBEJason Baldridge]; BBEMiles Osborne]
    Active learning for HPSG parse selection
  5. W03-0404: BBEEllen Riloff]; BBEJanyce Wiebe]; BBETheresa Wilson]
    Learning subjective nouns using extraction pattern bootstrapping
  6. W03-0405: BBEGideon Mann]; BBEDavid Yarowsky]
    Unsupervised Personal Name Disambiguation
  7. W03-0406: BBEHiroyuki Shinnou]; BBEMinoru Sasaki]
    Unsupervised learning of word sense disambiguation rules by estimating an optimum iteration number in the EM algorithm
  8. W03-0407: BBEStephen Clark]; BBEJames Curran]; BBEMiles Osborne]
    Bootstrapping POS-taggers using unlabelled data
  9. W03-0408: BBETong Zhang]; BBEFred Damerau]; BBEDavid Johnson]
    Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem
  10. W03-0409: BBEMihai Rotaru]; BBEDiane J. Litman]
    Exceptionality and Natural Language Learning
  11. W03-0410: BBESuzanne Stevenson]; BBEEric Joanis]
    Semi-supervised Verb Class Discovery Using Noisy Features
  12. W03-0411: BBETom O'Hara]; BBEJanyce Wiebe]
    Preposition Semantic Classification via Treebank and FrameNet
  13. W03-0412: BBEXin Li]; BBEDan Roth]; BBEYuancheng Tu]
    Phrasenet: towards context sensitive lexical semantics
  14. W03-0413: BBESimona Gandrabur]; BBEGeorge Foster]
    Confidence estimation for translation prediction
  15. W03-0414: BBEKatharina Probst]
    Using 'smart' bilingual projection to feature-tag a monolingual dictionary
  16. W03-0415: BBEScott Cederberg]; BBEDominic Widdows]
    Using LSA and Noun Coordination Information to Improve the Recall and Precision of Automatic Hyponymy Extraction
  17. W03-0416: BBETakuya Matsuzaki]; BBEYusuke Miyao]; BBEJun'ichi Tsujii]
    An efficient clustering algorithm for class-based language models
  18. W03-0417: BBEYoshimasa Tsuruoka]; BBEJun'ichi Tsujii]
    Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint
  19. W03-0418: BBEDominic R. Jones]; BBECynthia A. Thompson]
    Identifying Events using Similarity and Context
  20. W03-0419: BBEErik F. Tjong Kim Sang]; BBEFien De Meulder]
    Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
  21. W03-0420: BBEOliver Bender]; BBEFranz Josef Och]; BBEHermann Ney]
    Maximum Entropy Models for Named Entity Recognition
  22. W03-0421: BBEXavier Carreras]; BBELluís Márquez]; BBELluís Padró]
    A Simple Named Entity Extractor using AdaBoost
  23. W03-0422: BBEXavier Carreras]; BBELluís Márquez]; BBELluís Padró]
    Learning a Perceptron-Based Named Entity Chunker via Online Recognition Feedback
  24. W03-0423: BBEHai Leong Chieu]; BBEHwee Tou Ng]
    Named Entity Recognition with a Maximum Entropy Approach
  25. W03-0424: BBEJames Curran]; BBEStephen Clark]
    Language Independent NER using a Maximum Entropy Tagger
  26. W03-0425: BBERadu Florian]; BBEAbe Ittycheriah]; BBEHongyan Jing]; BBETong Zhang]
    Named Entity Recognition through Classifier Combination
  27. W03-0426: BBEJames Hammerton]
    Named Entity Recognition with Long Short-Term Memory
  28. W03-0427: BBEIris Hendrickx]; BBEAntal van den Bosch]
    Memory-based one-step named-entity recognition: Effects of seed list features, classifier stacking, and unannotated data
  29. W03-0428: BBEDan Klein]; BBEJoseph Smarr]; BBEHuy Nguyen]; BBEChristopher D. Manning]
    Named Entity Recognition with Character-Level Models
  30. W03-0429: BBEJames Mayfield]; BBEPaul McNamee]; BBEChristine Piatko]
    Named Entity Recognition using Hundreds of Thousands of Features
  31. W03-0430: BBEAndrew McCallum]; BBEWei Li]
    Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons
  32. W03-0431: BBERobert Munro]; BBEDaren Ler]; BBEJon Patrick]
    Meta-Learning Orthographic and Contextual Models for Language Independent Named Entity Recognition
  33. W03-0432: BBECasey Whitelaw]; BBEJon Patrick]
    Named Entity Recognition Using a Character-based Probabilistic Approach
  34. W03-0433: BBEDekai Wu]; BBEGrace Ngai]; BBEMarine Carpuat]
    A Stacked, Voted, Stacked Model for Named Entity Recognition
  35. W03-0434: BBETong Zhang]; BBEDavid Johnson]
    A Robust Risk Minimization based Named Entity Recognition System
  36. W03-0435: BBEFien De Meulder]; BBEWalter Daelemans]
    Memory-Based Named Entity Recognition using Unannotated Data

2002

  1. COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)

  2. W02-2001: BBETimothy Baldwin]; BBEAline Villavicencio]
    Extracting the Unextractable: A Case Study on Verb-particles
  3. W02-2002: BBEWilliam J. Black]; BBEArgyrios Vasilakopoulos]
    Language Independent Named Entity Classification by modified Transformation-based Learning and by Decision Tree Induction
  4. W02-2003: BBEJohn D. Burger]; BBEJohn C. Henderson]; BBEWilliam T. Morgan]
    Statistical Named Entity Recognizer Adaptation
  5. W02-2004: BBEXavier Carreras]; BBELluís Màrquez]; BBELluís Padró]
    Named Entity Extraction using AdaBoost
  6. W02-2005: BBELiviu Ciortuz]
    Learning Attribute Values in Typed-unification Grammars: On Generalised Rule Reduction
  7. W02-2006: BBESilviu Cucerzan]; BBEDavid Yarowsky]
    Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day
  8. W02-2007: BBESilviu Cucerzan]; BBEDavid Yarowsky]
    Language Independent NER using a Unified Model of Internal and Contextual Evidence
  9. W02-2008: BBEJames R. Curran]; BBEMiles Osborne]
    A Very Very Large Corpus Doesn't Always Yield Reliable Estimates
  10. W02-2009: BBEIdo Dagan]; BBEZvika Marx]; BBEEli Shamir]
    Cross-dataset Clustering: Revealing Corresponding Themes across Multiple Corpora
  11. W02-2010: BBERadu Florian]
    Named Entity Recognition as a House of Cards: Classifier Stacking
  12. W02-2011: BBECyril Goutte]; BBEHervé Déjean]; BBEEric Gaussier]; BBENicola Cancedda]; BBEJean-Michel Renders]
    Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition
  13. W02-2012: BBEPeter Juel Henrichsen]
    GraSp: Grammar Learning from Unlabelled Speech Corpora
  14. W02-2013: BBEMartin Jansche]
    Named Entity Extraction with Conditional Markov Models and Classifiers
  15. W02-2014: BBEAnna Korhonen]; BBEYuval Krymolowski]
    On the Robustness of Entropy-Based Similarity Measures in Evaluation of Subcategorization Acquisition Systems
  16. W02-2015: BBEYuval Krymolowski]
    Distinguishing Easy and Hard Instances
  17. W02-2016: BBETaku Kudo]; BBEYuji Matsumoto]
    Japanese Dependency Analysis using Cascaded Chunking
  18. W02-2017: BBEWei-Hao Lin]; BBEHsin-Hsi Chen]
    Backward Machine Transliteration by Learning Phonetic Similarity
  19. W02-2018: BBERobert Malouf]
    A Comparison of Algorithms for Maximum Entropy Parameter Estimation
  20. W02-2019: BBERobert Malouf]
    Markov Models for Language-independent Named Entity Recognition
  21. W02-2020: BBEPaul McNamee]; BBEJames Mayfield]
    Entity Extraction without Language-Specific Resources
  22. W02-2021: BBERada Mihalcea]; BBEVivi Nastase]
    Letter Level Learning for Language Independent Diacritics Restoration
  23. W02-2022: BBEJon Patrick]; BBECasey Whitelaw]; BBERobert Munro]
    SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier
  24. W02-2023: BBEUwe Quasthoff]; BBEChristian Biemann]; BBEChristian Wolff]
    Named Entity Learning and Verification: Expectation Maximization in Large Corpora
  25. W02-2024: BBEErik F. Tjong Kim Sang]
    Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
  26. W02-2025: BBEErik F. Tjong Kim Sang]
    Memory-Based Named Entity Recognition
  27. W02-2026: BBECharles Schafer]; BBEDavid Yarowsky]
    Inducing Translation Lexicons via Diverse Similarity Measures and Bridge Languages
  28. W02-2027: BBES. H. Srinivasan]
    Features for Unsupervised Document Classification
  29. W02-2028: BBEHiroya Takamura]; BBEYuji Matsumoto]
    Two-dimensional Clustering for Text Categorization
  30. W02-2029: BBEKoichi Takeuchi]; BBENigel Collier]
    Use of Support Vector Machines in Extended Named Entity Recognition
  31. W02-2030: BBEKristina Toutanova]; BBEChristopher D. Manning]
    Feature Selection for a Rich HPSG Grammar Using Decision Trees
  32. W02-2031: BBEKoji Tsukamoto]; BBEYutaka Mitsuishi]; BBEManabu Sassano]
    Learning with Multiple Stacking for Named Entity Recognition
  33. W02-2032: BBEJorn Veenstra]; BBEFrank Henrik Müller]; BBETylman Ule]
    Topological Field Chunking for German
  34. W02-2033: BBEAline Villavicencio]
    Learning to Distinguish PP Arguments from Adjuncts
  35. W02-2034: BBEJanyce Wiebe]; BBETheresa Wilson]
    Learning to Disambiguate Potentially Subjective Expressions
  36. W02-2035: BBEDekai Wu]; BBEGrace Ngai]; BBEMarine Carpuat]; BBEJeppe Larsen]; BBEYongsheng Yang]
    Boosting for Named Entity Recognition

2001

  1. Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)

  2. W01-0701: BBERadu Florian]; BBEGrace Ngai]
    Multidimensional transformation-based learning
  3. W01-0702: BBEJames Hammerton]; BBEErik F. Tjong Kim Sang]
    Combining a self-organising map with memory-based learning
  4. W01-0703: BBEEneko Agirre]; BBEDavid Martinez]
    Learning class-to-class selectional preferences
  5. W01-0704: BBEMaximilianoSaiz-Noeda]; BBEArmando Suárez]; BBEManuel Palomar]
    Semantic pattern learning through maximum entropy-based WSD technique
  6. W01-0705: BBEVivian Tsang]; BBESuzanne Stevenson]
    Automatic verb classification using multilingual resources
  7. W01-0706: BBEXin Li]; BBEDan Roth]
    Exploring evidence for shallow parsing
  8. W01-0707: BBEEric Gaussier]; BBENicola Cancedda]
    Probabilistic models for PP-attachment resolution and NP analysis
  9. W01-0708: BBEErik F. Tjong Kim Sang]; BBEHervé Déjean]
    Introduction to the CoNLL-2001 shared task: clause identification
  10. W01-0709: BBEAndrew Estabrooks]; BBENathalie Japkowicz]
    A mixture-of-experts framework for text classification
  11. W01-0710: BBERebecca Hwa]
    On minimizing training corpus for parser acquisition
  12. W01-0711: BBERémi Zajac]
    Morpholog: Constrained and Supervised Learning of Morphology
  13. W01-0712: BBEJohn Nerbonne]; BBEAnja Belz]; BBENicola Cancedda]; BBEHervé Déjean]; BBEJames Hammerton]; BBERob Koeling]; BBEStasinos Konstantopoulos]; BBEMiles Osborne]; BBEFranck Thollard]; BBEErik F. Tjong Kim Sang]
    Learning Computational Grammars
  14. W01-0713: BBEAlexander Clark]
    Unsupervised induction of stochastic context-free grammars using distributional clustering
  15. W01-0714: BBEDan Klein]; BBEChristopher D. Manning]
    Distributional phrase structure induction
  16. W01-0715: BBEPaola Merlo]; BBEMatthias Leybold]
    Automatic distinction of arguments and modifiers: the case of prepositional phrases
  17. W01-0716: BBEConstantin Orasan]; BBEEvans Richard]
    Learning to identify animate references
  18. W01-0717: BBESven Hartrumpf]
    Coreference resolution with syntactico-semantic rules and corpus statistics
  19. W01-0718: BBEMichael Carl]
    Inducing probabilistic invertible translation grammars from aligned texts
  20. W01-0719: BBESmaranda Muresan]; BBEEvelyne Tzoukermann]; BBEJudith L. Klavans]
    Combining linguistic and machine learning techniques for email summarization
  21. W01-0720: BBEStephen Watkinson]; BBESuresh Manandhar]
    A psychologically plausible and computationally effective approach to learning syntax
  22. W01-0721: BBEJon D. Patrick]; BBEIshaan Goyal]
    Boosted decision graphs for NLP learning tasks
  23. W01-0722: BBEJames Hammerton]
    Clause identification with long short-term memory
  24. W01-0723: BBEHervé Déjean]
    Using ALLiS for clausing
  25. W01-0724: BBEErik F. Tjong Kim Sang]
    Memory-based clause identification
  26. W01-0725: BBEAntonio Molina]; BBEFerran Pla]
    Clause detection using HMM
  27. W01-0726: BBEXavier Carreras]; BBELluís Màrquez]
    Boosting trees for clause splitting

2000

  1. Fourth Conference on Computational Natural Language Learning and the Second Learning Language in Logic Workshop

  2. W00-0701: BBEDan Roth]
    Learning in Natural Language: Theory and Algorithmic Approaches
  3. W00-0702: BBENicola Cancedda]; BBEChrister Samuelsson]
    Corpus-Based Grammar Specialization
  4. W00-0703: BBER.I. Damper Image]; BBEY. Marchand]
    Pronunciation by Analogy in Normal and Impaired Readers
  5. W00-0704: BBEGuy De Pauw]; BBEWalter Daelemans]
    The Role of Algorithm Bias vs Information Source in Learning Algorithms for Morphosyntactic Disambiguation
  6. W00-0705: BBEJohn Elliot]; BBEEric Atwell]; BBEBill Whyte]
    Increasing our Ignorance' of Language: Identifying Language Structure in an Unknown 'Signal'
  7. W00-0706: BBEGerard Escudero]; BBELluís Màrquez]; BBEGerman Rigau]
    A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
  8. W00-0707: BBEGeorge Foster]
    Incorporating Position Information into a Maximum Entropy/Minimum Divergence Translation Model
  9. W00-0708: BBEGuido Minnen]; BBEFrancis Bond]; BBEAnn Copestake]
    Memory-Based Learning for Article Generation
  10. W00-0709: BBETony Mullen]; BBEMiles Osborne]
    Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars
  11. W00-0710: BBEStephan Raaijmakers]
    Learning Distributed Linguistic Classes
  12. W00-0711: BBEWilliam Gregory Sakas]
    Modeling the Effect of Cross-Language Ambiguity on Human Syntax Acquisition
  13. W00-0712: BBEPatrick Schone]; BBEDaniel Jurafsky]
    Knowledge-Free Induction of Morphology Using Latent Semantic Analysis
  14. W00-0713: BBEAntal van den Bosch]
    Using Induced Rules as Complex Features in Memory-Based Language Learning
  15. W00-0714: BBEF. Amayat]; BBEJ. M. Benedi]
    Using Perfect Sampling in Parameter Estimation of a Whole Sentence Maximum Entropy Language Model
  16. W00-0715: BBEKonstantin Biatov]
    Experiments on Unsupervised Learning for Extracting Relevant Fragments from Spoken Dialog Corpus
  17. W00-0716: BBELaurent Blin]; BBELaurent Miclet]
    Generating Synthetic Speech Prosody with Lazy Learning in Tree Structures
  18. W00-0717: BBEAlexander Clark]
    Inducing Syntactic Categories by Context Distribution Clustering
  19. W00-0718: BBEHervé Déjean]
    ALLiS: a Symbolic Learning System for Natural Language Learning
  20. W00-0719: BBEJosé M. Gómez Hidalgo]; BBEManual Maña López]; BBEEnrique Puertas Sanz]
    Combining Text and Heuristics for Cost-Sensitive Spam Filtering
  21. W00-0720: BBEAnne Kool]; BBEWalter Daelemans]; BBEJakub Zavrel]
    Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing
  22. W00-0721: BBEVasin Punyakanok]; BBEDan Roth]
    Shallow Parsing by Inferencing with Classifiers
  23. W00-0722: BBEPatrick Ruch]; BBERobert Baud]; BBEPierrette Bouillon]; BBEGilbert Robert]
    Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models
  24. W00-0723: BBEJ. Turmo]; BBEH. Rodriguez]
    Learning IE Rules for a Set of Related Concepts
  25. W00-0724: BBEHans van Halteren]
    A Default First Order Family Weight Determination Procedure for WPDV Models
  26. W00-0725: BBEJose Luis Verdú-Mas]; BBEJorge Calera-Rubio]; BBERafael C. Carrasco]
    A Comparison of PCFG Models
  27. W00-0726: BBEErik F. Tjong Kim Sang]; BBESabine Buchholz]
    Introduction to the CoNLL-2000 Shared Task Chunking
  28. W00-0727: BBEHervé Déjean]
    Learning Syntactic Structures with XML
  29. W00-0728: BBEChrister Johansson]
    A Context Sensitive Maximum Likelihood Approach to Chunking
  30. W00-0729: BBERob Koeling]
    Chunking with Maximum Entropy Models
  31. W00-0730: BBETaku Kudoh]; BBEYuji Matsumoto]
    Use of Support Vector Learning for Chunk Identification
  32. W00-0731: BBEMiles Osborne]
    Shallow Parsing as Part-of-Speech Tagging
  33. W00-0732: BBEFerran Pla]; BBEAntonio Molina]; BBENatividad Prieto]
    Improving Chunking by Means of Lexical-Contextual Information in Statistical Language Models
  34. W00-0733: BBEErik F. Tjong Kim Sang]
    Text Chunking by System Combination
  35. W00-0734: BBEHans van Halteren]
    Chunking with WPDV Models
  36. W00-0735: BBEJorn Veenstra]; BBEAntal van den Bosch]
    Single-Classifier Memory-Based Phrase Chunking
  37. W00-0736: BBEMarc Vilain]; BBEDavid Day]
    Phrase Parsing with Rule Sequence Processors: an Application to the Shared CoNLL Task
  38. W00-0737: BBEGuoDong Zhou]; BBEJian Su]; BBETongGuan Tey]
    Hybrid Text Chunking
  39. W00-0738: BBEJörg-Uwe Kietz]; BBERaphael Volz]; BBEAlexander Maedche]
    Extracting a Domain-Specific Ontology from a Corporate Intranet
  40. W00-0739: BBEPieter Adriaans]; BBEErik de Haas]
    Learning from a Substructural Perspective
  41. W00-0740: BBEJames Cussens]; BBEStephen Pulman]
    Incorporating Linguistics Constraints into Inductive Logic Programming
  42. W00-0741: BBEF. Esposito]; BBES. Ferilli]; BBEN. Fanizzi]; BBEG. Semeraro]
    Learning from Parsed Sentences with INTHELEX
  43. W00-0742: BBEPascale Sébillot]; BBEPierrette Bouillon]; BBECecile Fabre]
    Inductive Logic Programming for Corpus-Based Acquisition of Semantic Lexicons
  44. W00-0743: BBEAline Villavicencio]
    The Acquisition of Word Order by a Computational Learning System
  45. W00-0744: BBEEva Zácková]; BBELuboš Popelínský]; BBEMiloš Nepil]
    Recognition and Tagging of Compound Verb Groups in Czech

1999

  1. EACL 1999: CoNLL-99 Computational Natural Language Learning

  2. W99-0701: BBEChunyu Kitt]; BBEYorick Wilks]
    Unsupervised Learning of Word Boundary with Description Length Gain
  3. W99-0702: BBEAndrd Kemp]
    Experiments in Unsupervised Entropy-Based Corpus Segmentation
  4. W99-0703: BBEKemal Oflazer]; BBESergei Nirenburg]
    Practical Bootstrapping of Morphological Analyzers
  5. W99-0704: BBEStephan Raaijmakers]
    Finding Representations for Memory-Based Language Learning
  6. W99-0705: BBETorbjorn Lager]
    The u-TBL System: Logic Programming Tools for Transformation-Based Learning
  7. W99-0706: BBELisa Ferro]; BBEMarc Vilain]; BBEAlexander Yeh]
    Learning Transformation Rules to Find Grammatical Relations
  8. W99-0707: BBEWalter Daelemans]; BBESabine Buchholz]; BBEJorn Veenstra]
    Memory-Based Shallow Parsing
  9. W99-0708: BBEMiles Osborne]
    MDL-based DCG Induction for NP Identification

1998

  1. New Methods in Language Processing and Computational Natural Language Learning

  2. W98-1201: BBEWalter Daelemans]
    ABSTRACTION IS HARMFUL IN LANGUAGE LEARNING
  3. W98-1202: BBEMichael Towsey]; BBEJoachim Diederich]; BBElngo Schellhammer]; BBEStephan Chalup]; BBEClaudia Brugman]
    Natural Language Learning by Recurrent Neural Networks: A Comparison wRh probabilistic approaches
  4. W98-1203: BBESandra Kubler]
    Learning a Lexicalized Grammar for German
  5. W98-1204: BBERene Schneider]
    A Lexically-Intensive Algorithm for Domain-Specific Knowlegde Acquisition
  6. W98-1205: BBEAndrd Kempe]
    Look-Back and Look-Ahead in the Conversion of Hidden Markov Models into Finite State Transducers
  7. W98-1206: BBEMark Johnson]
    The effect of alternative tree epresentatmns on tree bank grammars
  8. W98-1207: BBEThorsten Brants]; BBEWojciech Skut]
    Automation of Treebank Annotation
  9. W98-1208: BBEHamish Cunningham]; BBEMark Stevenson]; BBEYorick Wilks]
    Implementing a Sense Tagger in a General Architecture for Text Engineering
  10. W98-1209: BBEIngo Schellhammer]; BBEJoachim Diederich]; BBEMichael Towsey]; BBEClaudia Brugman]
    Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning Task
  11. W98-1210: BBEJason L. Hutchens]; BBEMichael D. Alder]
    Finding Structure via Compression
  12. W98-1211: BBEChrister Samuelsson]
    Linguistic Theory in Statistical Language Learning
  13. W98-1212: BBERichard McConachy]; BBEKevin B. Korb]; BBEIngrid Zukerman]
    A Bayesian Approach to Automating Argumentation
  14. W98-1213: BBEStephen J, Green]
    Automatically generating hypertext in newspaper articles by computing semantic relatedness
  15. W98-1214: BBEEmin Erkan Korkmaz]; BBEGokturk Ucoluk ]
    CHOOSING A DISTANCE METRIC FOR AUTOMATIC WORD CATEGORIZATION
  16. W98-1215: BBEPatrick Saint-Dizier]
    Sense Variation and Lexical Semantics Generative Operations
  17. W98-1216: BBEHarold Somers]
    An Attempt to Use Weighted Cusums to Identify Sublanguages
  18. W98-1217: BBEPatrick Juola]
    Cross-Entropy and Linguistic Typology
  19. W98-1218: BBEDavid M. W. Power]
    Applications and Explanations of Zipf's Law
  20. W98-1219: BBEEdmund Yuen]; BBEGreg Chase]
    Proper Name Classification in an Information Extraction Toolset
  21. W98-1220: BBERobert Steele]; BBEDavid Powers]
    Evolution and Evaluation of Document Retrieval Queries
  22. W98-1221: BBEIlyas Cicekli]; BBETurgay Korkrmaz]
    Generatlon of Simple Turkish Sentences with Systemic-Functional Grammar
  23. W98-1222: BBEIan Thomas]; BBEIngrid Zukerman]; BBEBhavani Raskutti]
    Extracting Phoneme Pronunciation Information from Corpora
  24. W98-1223: BBEAntal van den Bosch]; BBETon Weijters]; BBEWalter Daelemans]
    Modularity in Inductively-Learned Word Pronunciation Systems
  25. W98-1224: BBEAntal van den Bosch]; BBEWalter Daelemans]
    Do Not Forget: Full Memory in Memory-Based Learning of Word Pronunciation
  26. W98-1225: BBEVera Kamphuis]; BBEJanos Sarbo]
    Natural Language Concept Analysis
  27. W98-1226: BBEJ.Entwisle]; BBED. M. W. Powers]
    The Present Use of Statistics in the Evaluation of NLP Parsers
  28. W98-1227: BBEHiroki Imai]; BBE Hozumi Tanaka]
    A Method of Incorporating Bigram Constraints into an LR Table and Its Effectiveness in Natural Language Processing
  29. W98-1228: BBEJames M. Hogan]; BBEJoachim Diederich]; BBEGerard D. Finn]
    Selective Attention and the Acquisition of Spatial Semantics
  30. W98-1229: BBEHideki Kozima]; BBEAkira Ito]
    Towards Language Acquisition by an Attention-Sharing Robot
  31. W98-1230: BBEMichael Carl]
    A Constructivist Approach to Machine Translation
  32. W98-1231: BBEMichael Carl]; BBEAntje Schmidt-Wigger]
    Shallow Post Morphological Processing with KURD
  33. W98-1232: BBEErika F. de Lima]
    Induction of a Stem Lexicon for Two-level Morphological Analysis
  34. W98-1233: BBEJason L. Hutchens]; BBEMichael D. Alder]
    Introducing MegaHAL
  35. W98-1234: BBEV.Bastin]; BBED.Cordier]
    Methods and tricks used in an attempt to pass the Turing Test
  36. W98-1235: BBEDavid M. W. Powers]
    The Total Turing Test and the Loebner Prize
  37. W98-1236: BBEZenshiro Kawasaki]; BBEKeiji Takida]; BBEMasato Tajima]
    Language Model and Sentence Structure Manipulations for Natural Language Application Systems
  38. W98-1237: BBEBradley B. Custer]
    Position Paper on Appropriate Audio/Visual Turing Test
  39. W98-1238: BBETony C. Smith]
    Learning Feature-Value Grammars from Plain Text
  40. W98-1239: BBEHerve Dejean]
    Morphemes as Necessary Concept for Structures Discovery from Untagged Corpora
  41. W98-1240: BBEChristopher D. Manning]
    The segmentation problem in morphology learning
  42. W98-1241: BBEDavid M. W. Powers]
    Reconciliation of Unsupervised Clustering, Segmentation and Cohesion
  43. W98-1242: BBEIsabeile Tellier]
    Syntactico-Semantic Learning of Categorial Grammars

1997

  1. CoNLL97: Computational Natural Language Learning

  2. W97-1001: BBEAmit Bagga]; BBEJoyce Yue Chai]
    A Trainable Message Understanding System
  3. W97-1002: BBEMary Elaine Califf]; BBERaymond J. Mooney]
    Relational Learning of Pattern-Match Rules for Information Extraction
  4. W97-1003: BBEWide R. Hogenhout]; BBEYuji Matsumoto]
    A Preliminary Study of Word Clustering Based on Syntactic Behavior
  5. W97-1004: BBEJi Donghong]; BBEHe Jun]; BBEHuang Changning]
    Learning New Compositions from Given Ones
  6. W97-1005: BBEMehmet Kayaalp]; BBETed Pedersen]; BBERebecca Bruce]
    A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment
  7. W97-1006: BBEEmin Erkan Korkmaz]; BBEGokturk Ucoluk]
    METHOD FOR IMPROVING AUTOMATIC WORD CATEGORIZATION
  8. W97-1007: BBEMontse Maritxalar]; BBEArantza Diaz de Ilarraza]; BBEMaite Oronoz]
    From Psycholinguistic Modelling of Interlanguage in Second Language Acquisition to a Computational Model
  9. W97-1008: BBELaura Mayfield Tomokiyo]; BBEKlaus Ries]
    What makes a word: Learning base units in Japanese for speech recognition
  10. W97-1009: BBERamin Charles Nakisa]; BBEKim Plunkett]
    Evolution of a Rapidly Learned Representation for Speech
  11. W97-1010: BBEMiles Osborne]; BBETed Briscoe]
    Learning Stochastic Categorial Grammars
  12. W97-1011: BBEDavid M. W. Powers]
    Learning and Application of Differential Grammars
  13. W97-1012: BBEJennifer Rodd]
    Recurrent Neural-Network Learning of Phonological Regularities in Turkish
  14. W97-1013: BBEK. Sima'an]
    Explanation-Based Learning of Data-Oriented Parsing
  15. W97-1014: BBEChristoph Tillmann]; BBEHermann Ney]
    Word Triggers and the EM Algorithm
  16. W97-1015: BBEWerner Winiwarter]; BBEYahiko Kambayashi]
    A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces
  17. W97-1016: BBEJakub Zavrel]; BBEWalter Daelemans]; BBEJorn Veenstra]
    Resolving PP attachment Ambiguities with Memory-Based Learning