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2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
2015 Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Proceedings of the 11th International Conference on Computational Semantics
Proceedings of the 11th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (ISA-11)
Proceedings of the Workshop on Models for Modality Annotation
Proceedings of the 1st Workshop on Language and Ontologies
Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
2014 Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)
2013 Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) – Long Papers
Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) – Short Papers
Proceedings of the IWCS 2013 Workshop on Annotation of Modal Meanings in Natural Language (WAMM)
Proceedings of the IWCS 2013 Workshop on Computational Semantics in Clinical Text (CSCT 2013)
Proceedings of the IWCS 2013 Workshop Towards a Formal Distributional Semantics
Proceedings of the IWCS 2013 Workshop on Computational Models of Spatial Language Interpretation and Generation (CoSLI-3)
Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora
Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013)
2012 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
2011 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)
2010 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
2009 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)
Proceedings of the Eight International Conference on Computational Semantics
2008 Semantics in Text Processing. STEP 2008 Conference Proceedings
2007 Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions
Proceedings of the Seventh International Workshop on Computational Semantics (IWCS-7)
2006 Proceedings of the Fifth International Workshop on Inference in Computational Semantics (ICoS-5)
2005 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
Proceedings of the Sixth International Workshop on Computational Semantics (IWCS-6)
2003 Proceedings of the Fifth International Workshop on Computational Semantics (IWCS-5)
Proceedings of the Workshop on Inference in Computational Semantics (ICoS-4)
2001 Proceedings of the Fourth International Workshop on Computational Semantics (IWCS-4)
Proceedings of the Third International Workshop on Inference in Computational Semantics (ICoS-3)
2000 Proceedings of the Second International Workshop on Inference in Computational Semantics (ICoS-2)
1999 Proceedings of the Third International Workshop on Computational Semantics (IWCS-3)
Proceedings of the First International Workshop on Inference in Computational Semantics (ICoS-1)
1997 Proceedings of the Second International Workshop on Computational Semantics (IWCS-2)
1994 Proceedings of the First International Workshop on Computational Semantics (IWCS-1)

2016

  1. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

  2. S16-1001: Preslav Nakov; Alan Ritter; Sara Rosenthal; Fabrizio Sebastiani; Veselin Stoyanov
    SemEval-2016 Task 4: Sentiment Analysis in Twitter
  3. S16-1002: Maria Pontiki; Dimitris Galanis; Haris Papageorgiou; Ion Androutsopoulos; Suresh Manandhar; Mohammad AL-Smadi; Mahmoud Al-Ayyoub; Yanyan Zhao; Bing Qin; Orphee De Clercq; Veronique Hoste; Marianna Apidianaki; Xavier Tannier; Natalia Loukachevitch; Evgeniy Kotelnikov; Núria Bel; Salud María Jiménez-Zafra; Gülşen Eryiğit
    SemEval-2016 Task 5: Aspect Based Sentiment Analysis
  4. S16-1003: Saif Mohammad; Svetlana Kiritchenko; Parinaz Sobhani; Xiaodan Zhu; Colin Cherry
    SemEval-2016 Task 6: Detecting Stance in Tweets
  5. S16-1004: Svetlana Kiritchenko; Saif Mohammad; Mohammad Salameh
    SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases
  6. S16-1005: Mahmoud Nabil; Amir Atyia; Mohamed Aly
    CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification
  7. S16-1006: Giovanni Da San Martino; Wei Gao; Fabrizio Sebastiani
    QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal Quantification
  8. S16-1007: Stefan Räbiger; Mishal Kazmi; Yücel Saygın; Peter Schüller; Myra Spiliopoulou
    SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification
  9. S16-1008: Zhengchen Zhang; Chen Zhang; wu fuxiang; Dongyan Huang; Weisi Lin; Minghui Dong
    I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter
  10. S16-1009: David Vilares; Yerai Doval; Miguel A. Alonso; Carlos Gómez-Rodríguez
    LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification
  11. S16-1010: Georgios Balikas; Massih-Reza Amini
    TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification
  12. S16-1011: Andrea Esuli
    ISTI-CNR at SemEval-2016 Task 4: Quantification on an Ordinal Scale
  13. S16-1012: Stavros Giorgis; Apostolos Rousas; John Pavlopoulos; Prodromos Malakasiotis; Ion Androutsopoulos
    aueb.twitter.sentiment at SemEval-2016 Task 4: A Weighted Ensemble of SVMs for Twitter Sentiment Analysis
  14. S16-1013: Vikrant Yadav
    thecerealkiller at SemEval-2016 Task 4: Deep Learning based System for Classifying Sentiment of Tweets on Two Point Scale
  15. S16-1014: Brage Ekroll Jahren; Valerij Fredriksen; Björn Gambäck; Lars Bungum
    NTNUSentEval at SemEval-2016 Task 4: Combining General Classifiers for Fast Twitter Sentiment Analysis
  16. S16-1015: Esteban Castillo; Ofelia Cervantes; Darnes Vilariño; David Báez
    UDLAP at SemEval-2016 Task 4: Sentiment Quantification Using a Graph Based Representation
  17. S16-1016: Jonathan Juncal-Martínez; Tamara Àlvarez-López; Milagros Fernández-Gavilanes; Enrique Costa-Montenegro; Francisco Javier González-Castaño
    GTI at SemEval-2016 Task 4: Training a Naive Bayes Classifier using Features of an Unsupervised System
  18. S16-1017: Steven Du; Xi Zhang
    Aicyber at SemEval-2016 Task 4: i-vector based sentence representation
  19. S16-1018: Mateusz Lango; Dariusz Brzezinski; Jerzy Stefanowski
    PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis
  20. S16-1019: Vittoria Cozza; Marinella Petrocchi
    mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter
  21. S16-1020: Hang Gao; Tim Oates
    MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification
  22. S16-1021: Helena Gomez; Darnes Vilariño; Grigori Sidorov; David Pinto Avendaño
    CICBUAPnlp at SemEval-2016 Task 4-A: Discovering Twitter Polarity using Enhanced Embeddings
  23. S16-1022: Dario Stojanovski; Gjorgji Strezoski; Gjorgji Madjarov; Ivica Dimitrovski
    Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis
  24. S16-1023: Elisavet Palogiannidi; Athanasia Kolovou; Fenia Christopoulou; Filippos Kokkinos; Elias Iosif; Nikolaos Malandrakis; Haris Papageorgiou; Shrikanth Narayanan; Alexandros Potamianos
    Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation
  25. S16-1024: Omar Abdelwahab; Adel Elmaghraby
    UofL at SemEval-2016 Task 4: Multi Domain word2vec for Twitter Sentiment Classification
  26. S16-1025: Nikolay Karpov; Alexander Porshnev; Kirill Rudakov
    NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library
  27. S16-1026: Sebastian Ruder; Parsa Ghaffari; John G. Breslin
    INSIGHT-1 at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification and Quantification
  28. S16-1027: Steven Xu; HuiZhi Liang; Timothy Baldwin
    UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification
  29. S16-1028: Hussam Hamdan
    SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter
  30. S16-1029: Victor Martinez Morant; Lluís-F Hurtado; Ferran Pla
    DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach
  31. S16-1030: Mickael Rouvier; Benoit Favre
    SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis
  32. S16-1031: Abeed Sarker; Graciela Gonzalez
    DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons
  33. S16-1032: Gerard Briones; Kasun Amarasinghe; Bridget McInnes
    VCU-TSA at Semeval-2016 Task 4: Sentiment Analysis in Twitter
  34. S16-1033: Giuseppe Attardi; Daniele Sartiano
    UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification
  35. S16-1034: Jasper Friedrichs
    IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets
  36. S16-1035: Uladzimir Sidarenka
    PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.
  37. S16-1036: Silvio Amir; Ramón Astudillo; Wang Ling; Mario J. Silva; Isabel Trancoso
    INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words
  38. S16-1037: Cosmin Florean; Oana Bejenaru; Eduard Apostol; Octavian Ciobanu; Adrian Iftene; Diana Trandabat
    SentimentalITsts at SemEval-2016 Task 4: building a Twitter sentiment analyzer in your backyard
  39. S16-1038: Calin-Cristian Ciubotariu; Marius-Valentin Hrisca; Mihail Gliga; Diana Darabana; Diana Trandabat; Adrian Iftene
    Minions at SemEval-2016 Task 4: or how to build a sentiment analyzer using off-the-shelf resources?
  40. S16-1039: Yunchao He; Liang-Chih Yu; Chin-Sheng Yang; K. Robert Lai; Weiyi Liu
    YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network
  41. S16-1040: Yunxiao Zhou; Zhihua Zhang; Man Lan
    ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter
  42. S16-1041: Alexandra Balahur
    OPAL at SemEval-2016 Task 4: the Challenge of Porting a Sentiment Analysis System to the "Real" World
  43. S16-1042: Stefan Falk; Andi Rexha; Roman Kern
    Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction
  44. S16-1043: Talaat Khalil; Samhaa R. El-Beltagy
    NileTMRG at SemEval-2016 Task 5: Deep Convolutional Neural Networks for Aspect Category and Sentiment Extraction
  45. S16-1044: Caroline Brun; Julien Perez; Claude Roux
    XRCE at SemEval-2016 Task 5: Feedbacked Ensemble Modeling on Syntactico-Semantic Knowledge for Aspect Based Sentiment Analysis
  46. S16-1045: Zhiqiang Toh; Jian Su
    NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features
  47. S16-1046: Toshihiko Yanase; Kohsuke Yanai; Misa Sato; Toshinori Miyoshi; Yoshiki Niwa
    bunji at SemEval-2016 Task 5: Neural and Syntactic Models of Entity-Attribute Relationship for Aspect-based Sentiment Analysis
  48. S16-1047: Maryna Chernyshevich
    IHS-RD-Belarus at SemEval-2016 Task 5: Detecting Sentiment Polarity Using the Heatmap of Sentence
  49. S16-1048: Jakub Machacek
    BUTknot at SemEval-2016 Task 5: Supervised Machine Learning with Term Substitution Approach in Aspect Category Detection
  50. S16-1049: Tamara Àlvarez-López; Jonathan Juncal-Martínez; Milagros Fernández-Gavilanes; Enrique Costa-Montenegro; Francisco Javier González-Castaño
    GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis
  51. S16-1050: Dionysios Xenos; Panagiotis Theodorakakos; John Pavlopoulos; Prodromos Malakasiotis; Ion Androutsopoulos
    AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis
  52. S16-1051: Shubham Pateria; Prafulla Choubey
    AKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews
  53. S16-1052: Vladimir Mayorov; Ivan Andrianov
    MayAnd at SemEval-2016 Task 5: Syntactic and word2vec-based approach to aspect-based polarity detection in Russian
  54. S16-1053: Sebastian Ruder; Parsa Ghaffari; John G. Breslin
    INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis
  55. S16-1054: Fatih Samet Çetin; Ezgi Yıldırım; Can Özbey; Gülşen Eryiğit
    TGB at SemEval-2016 Task 5: Multi-Lingual Constraint System for Aspect Based Sentiment Analysis
  56. S16-1055: Tomáš Hercig; Tomáš Brychcín; Lukáš Svoboda; Michal Konkol
    UWB at SemEval-2016 Task 5: Aspect Based Sentiment Analysis
  57. S16-1056: Hussam Hamdan
    SentiSys at SemEval-2016 Task 5: Opinion Target Extraction and Sentiment Polarity Detection
  58. S16-1057: Kim Schouten; Flavius Frasincar
    COMMIT at SemEval-2016 Task 5: Sentiment Analysis with Rhetorical Structure Theory
  59. S16-1058: Mengxiao Jiang; Zhihua Zhang; Man Lan
    ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews
  60. S16-1059: Aleš Tamchyna; Kateřina Veselovská
    UFAL at SemEval-2016 Task 5: Recurrent Neural Networks for Sentence Classification
  61. S16-1060: Olga Vechtomova; Anni He
    UWaterloo at SemEval-2016 Task 5: Minimally Supervised Approaches to Aspect-Based Sentiment Analysis
  62. S16-1061: Marcelo Dias; Karin Becker
    INF-UFRGS-OPINION-MINING at SemEval-2016 Task 6: Automatic Generation of a Training Corpus for Unsupervised Identification of Stance in Tweets
  63. S16-1062: Wan Wei; Xiao Zhang; Xuqin Liu; Wei Chen; Tengjiao Wang
    pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection
  64. S16-1063: Isabelle Augenstein; Andreas Vlachos; Kalina Bontcheva
    USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders
  65. S16-1064: Can Liu; Wen Li; Bradford Demarest; Yue Chen; Sara Couture; Daniel Dakota; Nikita Haduong; Noah Kaufman; Andrew Lamont; Manan Pancholi; Kenneth Steimel; Sandra Kübler
    IUCL at SemEval-2016 Task 6: An Ensemble Model for Stance Detection in Twitter
  66. S16-1065: Yuki Igarashi; Hiroya Komatsu; Sosuke Kobayashi; Naoaki Okazaki; Kentaro Inui
    Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection
  67. S16-1066: Peter Krejzl; Josef Steinberger
    UWB at SemEval-2016 Task 6: Stance Detection
  68. S16-1067: Prashanth Vijayaraghavan; Ivan Sysoev; Soroush Vosoughi; Deb Roy
    DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs
  69. S16-1068: Amita Misra; Brian Ecker; Theodore Handleman; Nicolas Hahn; Marilyn Walker
    NLDS-UCSC at SemEval-2016 Task 6: A Semi-Supervised Approach to Detecting Stance in Tweets
  70. S16-1069: Michael Wojatzki; Torsten Zesch
    ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
  71. S16-1070: Heba Elfardy; Mona Diab
    CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text
  72. S16-1071: Braja Gopal Patra; Dipankar Das; Sivaji Bandyopadhyay
    JU_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines
  73. S16-1072: Henrik Bøhler; Petter Asla; Erwin Marsi; Rune Sætre
    IDI$@$NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation
  74. S16-1073: Zhihua Zhang; Man Lan
    ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets
  75. S16-1074: Guido Zarrella; Amy Marsh
    MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection
  76. S16-1075: Martin Tutek; Ivan Sekulic; Paula Gombar; Ivan Paljak; Filip Culinovic; Filip Boltuzic; Mladen Karan; Domagoj Alagić; Jan Šnajder
    TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
  77. S16-1076: Amal Htait; Sebastien Fournier; Patrice Bellot
    LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction
  78. S16-1077: Eshrag Refaee; Verena Rieser
    iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases
  79. S16-1078: Ladislav Lenc; Pavel Král; Václav Rajtmajer
    UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination
  80. S16-1079: Samhaa R. El-Beltagy
    NileTMRG at SemEval-2016 Task 7: Deriving Prior Polarities for Arabic Sentiment Terms
  81. S16-1080: Feixiang Wang; Zhihua Zhang; Man Lan
    ECNU at SemEval-2016 Task 7: An Enhanced Supervised Learning Method for Lexicon Sentiment Intensity Ranking
  82. S16-1081: Eneko Agirre; Carmen Banea; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre; Rada Mihalcea; German Rigau; Janyce Wiebe
    SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
  83. S16-1082: Eneko Agirre; Aitor Gonzalez-Agirre; Inigo Lopez-Gazpio; Montse Maritxalar; German Rigau; Larraitz Uria
    SemEval-2016 Task 2: Interpretable Semantic Textual Similarity
  84. S16-1083: Preslav Nakov; Lluís Màrquez; Alessandro Moschitti; Walid Magdy; Hamdy Mubarak; abed Alhakim Freihat; Jim Glass; Bilal Randeree
    SemEval-2016 Task 3: Community Question Answering
  85. S16-1084: Nathan Schneider; Dirk Hovy; Anders Johannsen; Marine Carpuat
    SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)
  86. S16-1085: Gustavo Paetzold; Lucia Specia
    SemEval 2016 Task 11: Complex Word Identification
  87. S16-1086: Duygu Ataman; Jose G. C. De Souza; Marco Turchi; Matteo Negri
    FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings
  88. S16-1087: Sam Henry; Allison Sands
    VRep at SemEval-2016 Task 1 and Task 2: A System for Interpretable Semantic Similarity
  89. S16-1088: Peng Li; Heng Huang
    UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation
  90. S16-1089: Tomáš Brychcín; Lukáš Svoboda
    UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information
  91. S16-1090: Matthias Liebeck; Philipp Pollack; Pashutan Modaresi; Stefan Conrad
    HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity
  92. S16-1091: Barbara Rychalska; Katarzyna Pakulska; Krystyna Chodorowska; Wojciech Walczak; Piotr Andruszkiewicz
    Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.
  93. S16-1092: Ahmet Aker; Frederic Blain; Andres Duque; Marina Fomicheva; Jurica Seva; Kashif Shah; Daniel Beck
    USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box
  94. S16-1093: Piotr Przybyła; Nhung T. H. Nguyen; Matthew Shardlow; Georgios Kontonatsios; Sophia Ananiadou
    NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features
  95. S16-1094: Junfeng Tian; Man Lan
    ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
  96. S16-1095: Liling Tan; Carolina Scarton; Lucia Specia; Josef van Genabith
    SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles
  97. S16-1096: Hannah Bechara; Rohit Gupta; Liling Tan; Constantin Orasan; Ruslan Mitkov; Josef van Genabith
    WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity
  98. S16-1097: Rajendra Banjade; Nabin Maharjan; Dipesh Gautam; Vasile Rus
    DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics
  99. S16-1098: Cheng Fu; Bo An; Xianpei Han; Le Sun
    ISCAS_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features
  100. S16-1099: Md Arafat Sultan; Steven Bethard; Tamara Sumner
    DLS$@$CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity

2015

  1. Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics

  2. S15-1001: Xiaodan Zhu; Hongyu Guo; Parinaz Sobhani
    Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition
  3. S15-1002: Phong Le; Willem Zuidema
    Compositional Distributional Semantics with Long Short Term Memory
  4. S15-1003: Nikolaos Aletras; Mark Stevenson
    A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
  5. S15-1004: Julien Corman; Laure Vieu; Nathalie Aussenac-Gilles
    Distributional semantics for ontology verification
  6. S15-1005: Parvin Sadat Feizabadi; Sebastian Padó
    Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling
  7. S15-1006: Jena D. Hwang; Martha Palmer
    Identification of Caused Motion Construction
  8. S15-1007: Oier Lopez de Lacalle; Eneko Agirre
    A Methodology for Word Sense Disambiguation at 90% based on large-scale CrowdSourcing
  9. S15-1008: Vinodkumar Prabhakaran; Branimir Boguraev
    Learning Structures of Negations from Flat Annotations
  10. S15-1009: Vinodkumar Prabhakaran; Tomas By; Julia Hirschberg; Owen Rambow; Samira Shaikh; Tomek Strzalkowski; Jennifer Tracey; Michael Arrigo; Rupayan Basu; Micah Clark; Adam Dalton; Mona Diab; Louise Guthrie; Anna Prokofieva; Stephanie Strassel; Gregory Werner; Yorick Wilks; Janyce Wiebe
    A New Dataset and Evaluation for Belief/Factuality
  11. S15-1010: Nitish Aggarwal; Kartik Asooja; Georgeta Bordea; Paul Buitelaar
    Non-Orthogonal Explicit Semantic Analysis
  12. S15-1011 [revisions: v2]: Ander Barrena; Aitor Soroa; Eneko Agirre
    Combining Mention Context and Hyperlinks from Wikipedia for Named Entity Disambiguation
  13. S15-1012: Clint Burford; Steven Bird; Timothy Baldwin
    Collective Document Classification with Implicit Inter-document Semantic Relationships
  14. S15-1013: Soheil Danesh; Tamara Sumner; James H. Martin
    SGRank: Combining Statistical and Graphical Methods to Improve the State of the Art in Unsupervised Keyphrase Extraction
  15. S15-1014: Steffen Eger; Niko Schenk; Alexander Mehler
    Towards Semantic Language Classification: Inducing and Clustering Semantic Association Networks from Europarl
  16. S15-1015: Heba Elfardy; Mona Diab; Chris Callison-Burch
    Ideological Perspective Detection Using Semantic Features
  17. S15-1016: Farah Benamara; Maite Taboada
    Mapping Different Rhetorical Relation Annotations: A Proposal
  18. S15-1017: Abhijeet Gupta; Jason Utt; Sebastian Padó
    Dissecting the Practical Lexical Function Model for Compositional Distributional Semantics
  19. S15-1018: Alex Judea; Michael Strube
    Event Extraction as Frame-Semantic Parsing
  20. S15-1019: Andras Kornai; Judit Àcs; Márton Makrai; Dávid Márk Nemeskey; Katalin Pajkossy; Gábor Recski
    Competence in lexical semantics
  21. S15-1020: Luis Marujo; Ricardo Ribeiro; David Martins de Matos; João Neto; Anatole Gershman; Jaime Carbonell
    Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
  22. S15-1021: Silvia Necsulescu; Sara Mendes; David Jurgens; Núria Bel; Roberto Navigli
    Reading Between the Lines: Overcoming Data Sparsity for Accurate Classification of Lexical Relationships
  23. S15-1022: Tae-Gil Noh; Sebastian Padó; Vered Shwartz; Ido Dagan; Vivi Nastase; Kathrin Eichler; Lili Kotlerman; Meni Adler
    Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms
  24. S15-1023: Samuel Ritter; Cotie Long; Denis Paperno; Marco Baroni; Matthew Botvinick; Adele Goldberg
    Leveraging Preposition Ambiguity to Assess Compositional Distributional Models of Semantics
  25. S15-1024: Rachel Rudinger; Vera Demberg; Ashutosh Modi; Benjamin Van Durme; Manfred Pinkal
    Learning to predict script events from domain-specific text
  26. S15-1025: Pablo Ruiz; Thierry Poibeau
    Combining Open Source Annotators for Entity Linking through Weighted Voting
  27. S15-1026: Magali Sanches Duran; Sandra Aluísio
    Automatic Generation of a Lexical Resource to support Semantic Role Labeling in Portuguese
  28. S15-1027: Shumin Wu; Martha Palmer
    Can Selectional Preferences Help Automatic Semantic Role Labeling?
  29. S15-1028: Sujan Perera; Pablo Mendes; Amit Sheth; Krishnaprasad Thirunarayan; Adarsh Alex; Christopher Heid; Greg Mott
    Implicit Entity Recognition in Clinical Documents
  30. S15-1029: Peter Exner; Marcus Klang; Pierre Nugues
    A Distant Supervision Approach to Semantic Role Labeling
  31. S15-1030: Jean-Philippe Fauconnier; Mouna Kamel
    Discovering Hypernymy Relations using Text Layout
  32. S15-1031: Natalie Schluter
    The complexity of finding the maximum spanning DAG and other restrictions for DAG parsing of natural language
  33. S15-1032: Yoshihide Kato; Shigeki Matsubara
    Incremental Semantic Construction Using Normal Form CCG Derivation
  34. S15-1033: William Foland; James Martin
    Dependency-Based Semantic Role Labeling using Convolutional Neural Networks
  35. S15-1034: Olga Uryupina; Alessandro Moschitti
    A State-of-the-Art Mention-Pair Model for Coreference Resolution
  36. S15-1035: Sujay Kumar Jauhar; Raul Guerra; Edgar Gonzàlez Pellicer; Marta Recasens
    Resolving Discourse-Deictic Pronouns: A Two-Stage Approach to Do It
  37. S15-1036: Mohsen Mesgar; Michael Strube
    Graph-based Coherence Modeling For Assessing Readability
  38. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

  39. S15-2001: Wei Xu; Chris Callison-Burch; Bill Dolan
    SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)
  40. S15-2002: Guido Zarrella; John Henderson; Elizabeth M. Merkhofer; Laura Strickhart
    MITRE: Seven Systems for Semantic Similarity in Tweets
  41. S15-2003: Helena Gomez; Darnes Vilariño; David Pinto; Grigori Sidorov
    CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task
  42. S15-2004: Dario Bertero; Pascale Fung
    HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation Metrics, Semantic Roles and Lexical Similarity Features
  43. S15-2005: Ngoc Phuoc An Vo; Simone Magnolini; Octavian Popescu
    FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter
  44. S15-2006: Jiang Zhao; Man Lan
    ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
  45. S15-2007: Rob van der Goot; Gertjan van Noord
    ROB: Using Semantic Meaning to Recognize Paraphrases
  46. S15-2008: Mahalakshmi Shanumuga Sundaram; Anand Kumar Madasamy; Soman Kotti Padannayil
    AMRITA_CEN$@$SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders
  47. S15-2009: Taneeya Satyapanich; Hang Gao; Tim Finin
    Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams
  48. S15-2010: Ergun Bicici
    RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines
  49. S15-2011: Asli Eyecioglu; Bill Keller
    Twitter Paraphrase Identification with Simple Overlap Features and SVMs
  50. S15-2012: Mladen Karan; Goran Glavaš; Jan Šnajder; Bojana Dalbelo Bašić; Ivan Vulić; Marie-Francine Moens
    TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay
  51. S15-2013: Rafael - Michael Karampatsis
    CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
  52. S15-2014: Yang Liu; Chengjie Sun; Lei Lin; Xiaolong Wang
    yiGou: A Semantic Text Similarity Computing System Based on SVM
  53. S15-2015: Liling Tan; Carolina Scarton; Lucia Specia; Josef van Genabith
    USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics
  54. S15-2016: Md Rashadul Hasan Rakib; Aminul Islam; Evangelos Milios
    TrWP: Text Relatedness using Word and Phrase Relatedness
  55. S15-2017: Hanna Béchara; Hernani Costa; Shiva Taslimipoor; Rohit Gupta; Constantin Orasan; Gloria Corpas Pastor; Ruslan Mitkov
    MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity
  56. S15-2018: Ngoc Phuoc An Vo; Simone Magnolini; Octavian Popescu
    FBK-HLT: A New Framework for Semantic Textual Similarity
  57. S15-2019: Sakethram Karumuri; Viswanadh Kumar Reddy Vuggumudi; Sai Charan Raj Chitirala
    UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System
  58. S15-2020: Nataliia Plotnikova; Gabriella Lapesa; Thomas Proisl; Stefan Evert
    SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
  59. S15-2021: Jiang Zhao; Man Lan; Jun Feng Tian
    ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
  60. S15-2022: Hamed Hassanzadeh; Tudor Groza; Anthony Nguyen; Jane Hunter
    UQeResearch: Semantic Textual Similarity Quantification
  61. S15-2023: Naoko Miura; Tomohiro Takagi
    WSL: Sentence Similarity Using Semantic Distance Between Words
  62. S15-2024: Davide Buscaldi; Jorge Garcia Flores; Ivan V. Meza; Isaac Rodriguez
    SOPA: Random Forests Regression for the Semantic Textual Similarity task
  63. S15-2025: Gábor Recski; Judit Àcs
    MathLingBudapest: Concept Networks for Semantic Similarity
  64. S15-2026: Piyush Arora; Chris Hokamp; Jennifer Foster; Gareth Jones
    DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2
  65. S15-2027: Md Arafat Sultan; Steven Bethard; Tamara Sumner
    DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition
  66. S15-2028: Basma Hassan; Samir AbdelRahman; Reem Bahgat
    FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity
  67. S15-2029: Evan Jaffe; Lifeng Jin; David King; Marten van Schijndel
    AZMAT: Sentence Similarity Using Associative Matrices
  68. S15-2030: Rajendra Banjade; Nobal Bikram Niraula; Nabin Maharjan; Vasile Rus; Dan Stefanescu; Mihai Lintean; Dipesh Gautam
    NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity
  69. S15-2031: Lushan Han; Justin Martineau; Doreen Cheng; Christopher Thomas
    Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity
  70. S15-2032: Eneko Agirre; Aitor Gonzalez-Agirre; Inigo Lopez-Gazpio; Montse Maritxalar; German Rigau; Larraitz Uria
    UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS
  71. S15-2033: Ana Alves; David Simões; Hugo Gonçalo Oliveira; Adriana Ferrugento
    ASAP-II: From the Alignment of Phrases to Textual Similarity
  72. S15-2034: Tu Thanh Vu; Quan Hung Tran; Son Bao Pham
    TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity
  73. S15-2035: Yongshuai Hou; Cong Tan; Xiaolong Wang; Yaoyun Zhang; Jun Xu; Qingcai Chen
    HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering
  74. S15-2036: Massimo Nicosia; Simone Filice; Alberto Barrón-Cedeño; Iman Saleh; Hamdy Mubarak; Wei Gao; Preslav Nakov; Giovanni Da San Martino; Alessandro Moschitti; Kareem Darwish; Lluís Màrquez; Shafiq Joty; Walid Magdy
    QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English
  75. S15-2037: Xiaoqiang Zhou; Baotian Hu; Jiaxin Lin; Yang xiang; Xiaolong Wang
    ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge
  76. S15-2038: Quan Hung Tran; Vu Tran; Tu Vu; Minh Nguyen; Son Bao Pham
    JAIST: Combining multiple features for Answer Selection in Community Question Answering
  77. S15-2039: Amin Heydari Alashty; Saeed Rahmani; Meysam Roostaee; Mostafa Fakhrahmad
    Shiraz: A Proposed List Wise Approach to Answer Validation
  78. S15-2040: Reham Mohamed; Maha Ragab; Heba Abdelnasser; Nagwa M. El-Makky; Marwan Torki
    Al-Bayan: A Knowledge-based System for Arabic Answer Selection
  79. S15-2041: Ngoc Phuoc An Vo; Simone Magnolini; Octavian Popescu
    FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering
  80. S15-2042: Liang Yi; JianXiang Wang; Man Lan
    ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference
  81. S15-2043: Ivan Zamanov; Marina Kraeva; Nelly Hateva; Ivana Yovcheva; Ivelina Nikolova; Galia Angelova
    Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features
  82. S15-2044: Björn Rudzewitz; Ramon Ziai
    CoMiC: Adapting a Short Answer Assessment System for Answer Selection
  83. S15-2045: Eneko Agirre; Carmen Banea; Claire Cardie; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre; Weiwei Guo; Inigo Lopez-Gazpio; Montse Maritxalar; Rada Mihalcea; German Rigau; Larraitz Uria; Janyce Wiebe
    SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
  84. S15-2046: Christian Hänig; Robert Remus; Xose de la Puente
    ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity
  85. S15-2047: Preslav Nakov; Lluís Màrquez; Walid Magdy; Alessandro Moschitti; Jim Glass; Bilal Randeree
    SemEval-2015 Task 3: Answer Selection in Community Question Answering
  86. S15-2048: Yonatan Belinkov; Mitra Mohtarami; Scott Cyphers; James Glass
    VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
  87. S15-2049: Andrea Moro; Roberto Navigli
    SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking
  88. S15-2050: Marianna Apidianaki; Li Gong
    LIMSI: Translations as Source of Indirect Supervision for Multilingual All-Words Sense Disambiguation and Entity Linking
  89. S15-2051: Noémie Elhadad; Sameer Pradhan; Sharon Gorman; Suresh Manandhar; Wendy Chapman; Guergana Savova
    SemEval-2015 Task 14: Analysis of Clinical Text
  90. S15-2052: Jun Xu; Yaoyun Zhang; Jingqi Wang; Yonghui Wu; Min Jiang; Ergin Soysal; Hua Xu
    UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14
  91. S15-2053: Vít Baisa; Jane Bradbury; Silvie Cinkova; Ismail El Maarouf; Adam Kilgarriff; Octavian Popescu
    SemEval-2015 Task 15: A CPA dictionary-entry-building task
  92. S15-2054: Yukun Feng; Qiao Deng; Dong Yu
    BLCUNLP: Corpus Pattern Analysis for Verbs Based on Dependency Chain
  93. S15-2055: Rocco Tripodi; Marcello Pelillo
    WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation
  94. S15-2056: Dirk Weissenborn; Feiyu Xu; Hans Uszkoreit
    DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns & Deep Verb Sense Disambiguation
  95. S15-2057: Eniafe Festus Ayetiran; Guido Boella
    EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid Knowledge-Based Technique
  96. S15-2058: Marten Postma; Ruben Izquierdo; Piek Vossen
    VUA-background : When to Use Background Information to Perform Word Sense Disambiguation
  97. S15-2059: Petr Fanta; Roman Sudarikov; Ondrej Bojar
    TeamUFAL: WSD+EL as Document Retrieval
  98. S15-2060: Pablo Ruiz; Thierry Poibeau
    EL92: Entity Linking Combining Open Source Annotators via Weighted Voting
  99. S15-2061: Pierpaolo Basile; Annalina Caputo; Giovanni Semeraro
    UNIBA: Combining Distributional Semantic Models and Sense Distribution for Multilingual All-Words Sense Disambiguation and Entity Linking
  100. S15-2062: Steve L. Manion
    SUDOKU: Treating Word Sense Disambiguation & Entitiy Linking as a Deterministic Problem - via an Unsupervised & Iterative Approach
  101. S15-2063: Nghia Huynh; Quoc Ho
    TeamHCMUS: Analysis of Clinical Text
  102. S15-2064: Kai Hakala
    UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection
  103. S15-2065: Maryna Chernyshevich; Vadim Stankevitch
    IHS-RD-Belarus: Identification and Normalization of Disorder Concepts in Clinical Notes
  104. S15-2066: Omid Ghiasvand; Rohit Kate
    UWM: A Simple Baseline Method for Identifying Attributes of Disease and Disorder Mentions in Clinical Text
  105. S15-2067: Goran Glavaš
    TAKELAB: Medical Information Extraction and Linking with MINERAL
  106. S15-2068: Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Ray; Manish Kumar; Hong-Jie Dai
    TMUNSW: Identification of Disorders and Normalization to SNOMED-CT Terminology in Unstructured Clinical Notes
  107. S15-2069: Kristina Doing-Harris; Sean Igo; Jianlin Shi; John Hurdle
    UtahPOET: Disorder Mention Identification and Context Slot Filling with Cognitive Inspiration
  108. S15-2070: André Leal; Bruno Martins; Francisco Couto
    ULisboa: Recognition and Normalization of Medical Concepts
  109. S15-2071: Parth Pathak; Pinal Patel; Vishal Panchal; Sagar Soni; Kinjal Dani; Amrish Patel; Narayan Choudhary
    ezDI: A Supervised NLP System for Clinical Narrative Analysis
  110. S15-2072: James Gung; John Osborne; Steven Bethard
    CUAB: Supervised Learning of Disorders and their Attributes using Relations
  111. S15-2073: Sérgio Matos; José Sequeira; José Luís Oliveira
    BioinformaticsUA: Machine Learning and Rule-Based Recognition of Disorders and Clinical Attributes from Patient Notes
  112. S15-2074: Asma Ben Abacha; Aikaterini Karanasiou; Yassine Mrabet; Julio Cesar Dos Reis
    LIST-LUX: Disorder Identification from Clinical Texts
  113. S15-2075: Chad Mills; Gina-Anne Levow
    CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing
  114. S15-2076: Ted Pedersen
    Duluth: Word Sense Discrimination in the Service of Lexicography
  115. S15-2077: Irene Russo; Tommaso Caselli; Carlo Strapparava
    SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events
  116. S15-2078: Sara Rosenthal; Preslav Nakov; Svetlana Kiritchenko; Saif Mohammad; Alan Ritter; Veselin Stoyanov
    SemEval-2015 Task 10: Sentiment Analysis in Twitter
  117. S15-2079: Aliaksei Severyn; Alessandro Moschitti
    UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification
  118. S15-2080: Aniruddha Ghosh; Guofu Li; Tony Veale; Paolo Rosso; Ekaterina Shutova; John Barnden; Antonio Reyes
    SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter
  119. S15-2081: Canberk Özdemir; Sabine Bergler
    CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11
  120. S15-2082: Maria Pontiki; Dimitris Galanis; Haris Papageorgiou; Suresh Manandhar; Ion Androutsopoulos
    SemEval-2015 Task 12: Aspect Based Sentiment Analysis
  121. S15-2083: Zhiqiang Toh; Jian Su
    NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction
  122. S15-2084: Mauro Dragoni
    SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
  123. S15-2085: Abeed Sarker; Azadeh Nikfarjam; Davy Weissenbacher; Graciela Gonzalez
    DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
  124. S15-2086: Li Dong; Furu Wei; Yichun Yin; Ming Zhou; Ke Xu
    Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
  125. S15-2087: Ayushi Dalmia; Manish Gupta; Vasudeva Varma
    IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!
  126. S15-2088: Sebastian Ebert; Ngoc Thang Vu; Hinrich Schütze
    CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter
  127. S15-2089: Milagros Fernández-Gavilanes; Tamara Àlvarez-López; Jonathan Juncal-Martínez; Enrique Costa-Montenegro; Francisco Javier González-Castaño
    GTI: An Unsupervised Approach for Sentiment Analysis in Twitter
  128. S15-2090: Héctor Cerezo-Costas; Diego Celix-Salgado
    Gradiant-Analytics: Training Polarity Shifters with CRFs for Message Level Polarity Detection
  129. S15-2091: Peijia Li; Weiqun Xu; Chenglong Ma; Jia Sun; Yonghong Yan
    IOA: Improving SVM Based Sentiment Classification Through Post Processing
  130. S15-2092: Huizhi Liang; Richard Fothergill; Timothy Baldwin
    RoseMerry: A Baseline Message-level Sentiment Classification System
  131. S15-2093: Esteban Castillo; Ofelia Cervantes; Darnes Vilariño; David Báez; Alfredo Sánchez
    UDLAP: Sentiment Analysis Using a Graph-Based Representation
  132. S15-2094: Zhihua Zhang; Guoshun Wu; Man Lan
    ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
  133. S15-2095: Hussam Hamdan; Patrice Bellot; Frederic Bechet
    Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter
  134. S15-2096: Mayte Giménez; Ferran Pla; Lluís-F. Hurtado
    ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
  135. S15-2097: Matthias Hagen; Martin Potthast; Michel Büchner; Benno Stein
    Webis: An Ensemble for Twitter Sentiment Detection
  136. S15-2098: Satarupa Guha; Aditya Joshi; Vasudeva Varma
    Sentibase: Sentiment Analysis in Twitter on a Budget
  137. S15-2099: Pierpaolo Basile; Nicole Novielli
    UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging, Lexicon and Semantic Features
  138. Proceedings of the 11th International Conference on Computational Semantics

  139. W15-0101: Guy Emerson; Ann Copestake
    Leveraging a Semantically Annotated Corpus to Disambiguate Prepositional Phrase Attachment
  140. W15-0102: Daniel Bailey; Yuliya Lierler; Benjamin Susman
    Prepositional Phrase Attachment Problem Revisited: how Verbnet can Help
  141. W15-0103: Omid Bakhshandh; James Allen
    From Adjective Glosses to Attribute Concepts: Learning Different Aspects That an Adjective Can Describe
  142. W15-0104: Stefan Bott; Sabine Schulte im Walde
    Exploiting Fine-grained Syntactic Transfer Features to Predict the Compositionality of German Particle Verbs
  143. W15-0105: Maximilian Köper; Christian Scheible; Sabine Schulte im Walde
    Multilingual Reliability and "Semantic" Structure of Continuous Word Spaces
  144. W15-0106: Julian J. Schlöder; Raquel Fernandez
    Clarifying Intentions in Dialogue: A Corpus Study
  145. W15-0107: Luana Fagarasan; Eva Maria Vecchi; Stephen Clark
    From distributional semantics to feature norms: grounding semantic models in human perceptual data
  146. W15-0108: Max Kisselew; Sebastian Padó; Alexis Palmer; Jan Šnajder
    Obtaining a Better Understanding of Distributional Models of German Derivational Morphology
  147. W15-0109: Jakub Szymanik; Camilo Thorne
    Semantic Complexity of Quantifiers and Their Distribution in Corpora
  148. W15-0110: Alessandro Lopopolo; Emiel van Miltenburg
    Sound-based distributional models
  149. W15-0111: Preethi Vaidyanathan; Emily Prud’hommeaux; Cecilia O. Alm; Jeff B. Pelz; Anne R. Haake
    Alignment of Eye Movements and Spoken Language for Semantic Image Understanding
  150. W15-0112: Patrick Ziering; Lonneke van der Plas
    From a Distance: Using Cross-lingual Word Alignments for Noun Compound Bracketing
  151. W15-0113: Henry Anaya-Sánchez; Anselmo Peñas
    Unsupervised Learning of Coherent and General Semantic Classes for Entity Aggregates
  152. W15-0114: Oier Lopez de Lacalle; Eneko Agirre
    Crowdsourced Word Sense Annotations and Difficult Words and Examples
  153. W15-0115: Sapna Negi; Paul Buitelaar
    Curse or Boon? Presence of Subjunctive Mood in Opinionated Text
  154. W15-0116: Matic Horvat; Ann Copestake; Bill Byrne
    Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics
  155. W15-0117: Fatemeh Torabi Asr; Vera Demberg
    Uniform Surprisal at the Level of Discourse Relations: Negation Markers and Discourse Connective Omission
  156. W15-0118: Daoud Clarke; Bill Keller
    Efficiency in Ambiguity: Two Models of Probabilistic Semantics for Natural Language
  157. W15-0119: Islam Beltagy; Katrin Erk
    On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics
  158. W15-0120: Aurélie Herbelot
    Mr Darcy and Mr Toad, gentlemen: distributional names and their kinds
  159. W15-0121: Elias Iosif; Alexandros Potamianos
    Feeling is Understanding: From Affective to Semantic Spaces
  160. W15-0122: Corina Dima; Erhard Hinrichs
    Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings
  161. W15-0123: Julie Hunter; Nicholas Asher; Alex Lascarides
    Integrating Non-Linguistic Events into Discourse Structure
  162. W15-0124: Casey Kennington; Livia Dia; David Schlangen
    A Discriminative Model for Perceptually-Grounded Incremental Reference Resolution
  163. W15-0125: Julian Hough; Casey Kennington; David Schlangen; Jonathan Ginzburg
    Incremental Semantics for Dialogue Processing: Requirements, and a Comparison of Two Approaches
  164. W15-0126: Željko Agić; Alexander Koller; Stephan Oepen
    Semantic Dependency Graph Parsing Using Tree Approximations
  165. W15-0127: Alexander Koller
    Semantic construction with graph grammars
  166. W15-0128: Emily M. Bender; Dan Flickinger; Stephan Oepen; Woodley Packard; Ann Copestake
    Layers of Interpretation: On Grammar and Compositionality
  167. W15-0129: Julian J. Schlöder; Raquel Fernandez
    Pragmatic Rejection
  168. W15-0130: Arash Eshghi; Christine Howes; Eleni Gregoromichelaki; Julian Hough; Matthew Purver
    Feedback in Conversation as Incremental Semantic Update
  169. W15-0131: Antoine Venant; Nicholas Asher
    Dynamics of Public Commitments in Dialogue
  170. W15-0132: Reyadh Alluhaibi
    Simple Interval Temporal Logic for Natural Language Assertion Descriptions
  171. W15-0133: Andre Freitas; Juliano Efson Sales; Siegfried Handschuh; Edward Curry
    How hard is this query? Measuring the Semantic Complexity of Schema-agnostic Queries
  172. Proceedings of the 11th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (ISA-11)

  173. W15-0201: Harry Bunt
    On the Principles of Semantic Annotation
  174. W15-0202: Ludivine Crible; Sandrine Zufferey
    Using a unified taxonomy to annotate discourse markers in speech and writing
  175. W15-0203: Volker Gast; Lennart Bierkandt; Christoph Rzymski
    Creating and retrieving tense and aspect annotation with GraphAnno, a lightweight tool for multi-level annotation
  176. W15-0204: Julia Bosque-Gil; James Pustejosvsky
    The Semantics of Image Annotation
  177. W15-0205: Jet Hoek; Sandrine Zufferey
    Factors Influencing the Implicitation of Discourse Relations across Languages
  178. W15-0206: Elisabetta Jezek; Rossella Varvara
    Instrument subjects without Instrument role
  179. W15-0207: Kiyong Lee
    The Annotation of Measure Expressions in ISO Standards
  180. W15-0208: Steven Neale; Joao Silva; Antonio Branco
    A Flexible Tool for Manual Word Sense Annotation
  181. W15-0209: Silvia Pareti
    Annotating Attribution Relations across Languages and Genres
  182. W15-0210: Rashmi Prasad; Harry Bunt
    Semantic Relations in Discourse: The Current State of ISO 24617-8
  183. W15-0211: Hegler Tissot; Angus Roberts; Leon Derczynski; Genevieve Gorrell; Marcus Didonet Del Fabro
    Analysis of Temporal Expressions Annotated in Clinical Notes
  184. W15-0212: Jeremy Trione; Frederic Bechet; Benoit Favre; Alexis Nasr
    Rapid FrameNet annotation of spoken conversation transcripts
  185. Proceedings of the Workshop on Models for Modality Annotation

  186. W15-0301: Luciana Beatrix Ávila; Amália Mendes; Iris Hendrickx
    Towards a Unified Approach to Modality Annotation in Portuguese
  187. W15-0302: Liliana Mamani Sanchez; Carl Vogel
    A hedging annotation scheme focused on epistemic phrases for informal language
  188. W15-0303: Volker Gast; Lennart Bierkandt; Christoph Rzymski
    Annotating modals with GraphAnno, a configurable lightweight tool for multi-level annotation
  189. Proceedings of the 1st Workshop on Language and Ontologies

  190. W15-0401: Hans-Ulrich Krieger; Christian Willms
    Extending OWL Ontologies by Cartesian Types to Represent N-ary Relations in Natural Language
  191. W15-0402: Artemis Parvizi; Yuan Ren; Markel Vigo; Kees van Deemter; Chris Mellish; Jeff Z. Pan; Robert Stevens; Caroline Jay
    Ontology Authoring Inspired By Dialogue
  192. W15-0403: Michael Roth; Ewan Klein
    Parsing Software Requirements with an Ontology-based Semantic Role Labeler
  193. W15-0404: Fahad Khan; Francesca Frontini
    Using Ontologies to Model Polysemy in Lexical Resources
  194. W15-0405: Daniel Couto-Vale; Rodrigo de Oliveira
    Modelling time and space in Brazilian culture
  195. W15-0406: Julien Corman; Nathalie Aussenac-Gilles; Laure Vieu
    Trimming a consistent OWL knowledge base, relying on linguistic evidence
  196. W15-0407: Federico Cerutti; Artemis Parvizi; Alice Toniolo; Dave Braines; Geeth R. de Mel; Timothy J. Norman; Nir Oren; Jeff Z. Pan; Gavin Pearson; Stephen D. Pipes; Paul Sullivan
    When is Lying the Right Choice?
  197. Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics

  198. W15-2701: Tamara Polajnar; Laura Rimell; Stephen Clark
    An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics
  199. W15-2702: Kleio-Isidora Mavridou; Annemarie Friedrich; Melissa Peate Sørensen; Alexis Palmer; Manfred Pinkal
    Linking discourse modes and situation entity types in a cross-linguistic corpus study
  200. W15-2703: Hannah Rohde; Anna Dickinson; Chris Clark; Annie Louis; Bonnie Webber
    Recovering discourse relations: Varying influence of discourse adverbials
  201. W15-2704 [attachment]: Rodolfo Delmonte; Rocco Tripodi
    Semantics and Discourse Processing for Expressive TTS
  202. W15-2705: Mengfei Zhou; Anette Frank; Annemarie Friedrich; Alexis Palmer
    Semantically Enriched Models for Modal Sense Classification
  203. W15-2706: Taraneh Khazaei; Lu Xiao; Robert Mercer
    Identification and Disambiguation of Lexical Cues of Rhetorical Relations across Different Text Genres
  204. W15-2707: Rashmi Prasad; Bonnie Webber; Alan Lee; Sameer Pradhan; Aravind Joshi
    Bridging Sentential and Discourse-level Semantics through Clausal Adjuncts
  205. W15-2708: Rui Correia; Maxine Eskenazi; Nuno Mamede
    Lexical Level Distribution of Metadiscourse in Spoken Language
  206. W15-2709 [revisions: v2]: Maria Pershina; Yifan He; Ralph Grishman
    Idiom Paraphrases: Seventh Heaven vs Cloud Nine
  207. W15-2710: Yuki Murakami; Yoshimasa Tsuruoka
    Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model
  208. W15-2711: Héctor Martínez Alonso; Anders Johannsen; Oier Lopez de Lacalle; Eneko Agirre
    Predicting word sense annotation agreement
  209. W15-2712: Raffaella Bernardi; Gemma Boleda; Raquel Fernandez; Denis Paperno
    Distributional Semantics in Use
  210. Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

  211. W15-2901: Zornitsa Kozareva
    Multilingual Affect Polarity and Valence Prediction in Metaphors
  212. W15-2902 [attachment]: David Vilares; Miguel A. Alonso; Carlos Gómez-Rodríguez
    Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
  213. W15-2903: Marine Carpuat
    Connotation in Translation
  214. W15-2904: Soroush Vosoughi; Helen Zhou; deb roy
    Enhanced Twitter Sentiment Classification Using Contextual Information
  215. W15-2905: Anupam Khattri; Aditya Joshi; Pushpak Bhattacharyya; Mark Carman
    Your Sentiment Precedes You: Using an author’s historical tweets to predict sarcasm
  216. W15-2906: Thomas Kober; David Weir
    Optimising Agile Social Media Analysis
  217. W15-2907: Takaaki Tsunoda; Takashi Inui; Satoshi Sekine
    Utilizing review analysis to suggest product advertisement improvements
  218. W15-2908 [attachment]: Wiltrud Kessler; Roman Klinger; Jonas Kuhn
    Towards Opinion Mining from Reviews for the Prediction of Product Rankings
  219. W15-2909: Leticia Cagnina; Paolo Rosso
    Classification of deceptive opinions using a low dimensionality representation
  220. W15-2910: Josef Ruppenhofer; Jasper Brandes
    Extending effect annotation with lexical decomposition
  221. W15-2911: Lucie Flekova; Daniel Preoţiuc-Pietro; Eugen Ruppert
    Analysing domain suitability of a sentiment lexicon by identifying distributionally bipolar words
  222. W15-2912: Saif Mohammad
    Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget's Thesaurus
  223. W15-2913: Barbara Plank; Dirk Hovy
    Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week
  224. W15-2914: Johan Reitan; Jørgen Faret; Björn Gambäck; Lars Bungum
    Negation Scope Detection for Twitter Sentiment Analysis
  225. W15-2915: Sebastian Ebert; Ngoc Thang Vu; Hinrich Schütze
    A Linguistically Informed Convolutional Neural Network
  226. W15-2916: Chiraag Sumanth; Diana Inkpen
    How much does word sense disambiguation help in sentiment analysis of micropost data?
  227. W15-2917: Wernard Schmit; Sander Wubben
    Predicting Ratings for New Movie Releases from Twitter Content
  228. 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
  229. W15-2919: Manfred Klenner
    Verb-centered Sentiment Inference with Description Logics
  230. W15-2920: Priyanka Sinha; Lipika Dey; Pabitra Mitra; Anupam Basu
    Mining HEXACO personality traits from Enterprise Social Media
  231. W15-2921: Michael Wiegand; Marc Schulder; Josef Ruppenhofer
    Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved
  232. W15-2922: Umar Maqsud
    Synthetic Text Generation for Sentiment Analysis
  233. W15-2923: Maria Skeppstedt; Teri Schamp-Bjerede; Magnus Sahlgren; Carita Paradis; Andreas Kerren
    Detecting speculations, contrasts and conditionals in consumer reviews
  234. W15-2924: Credell Simeon; Robert Hilderman
    Using Combined Lexical Resources to Identify Hashtag Types
  235. W15-2925: Phillip Smith; Mark Lee
    Sentiment Classification via a Response Recalibration Framework

2014

  1. Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)

  2. S14-1001: Anders Johannsen; Dirk Hovy; Héctor Martínez Alonso; Barbara Plank; Anders Søgaard
    More or less supervised supersense tagging of Twitter
  3. S14-1002: Anil Bandhakavi; Nirmalie Wiratunga; Deepak P; Stewart Massie
    Generating a Word-Emotion Lexicon from #Emotional Tweets
  4. S14-1003: Jared Kramer; Clara Gordon
    Improvement of a Naive Bayes Sentiment Classifier Using MRS-Based Features
  5. S14-1004: Nicolai Erbs; Iryna Gurevych; Torsten Zesch
    Sense and Similarity: A Study of Sense-level Similarity Measures
  6. S14-1005: Steve L. Manion; Raazesh Sainudiin
    An Iterative `Sudoku Style' Approach to Subgraph-based Word Sense Disambiguation
  7. S14-1006: Nitish Aggarwal; Kartik Asooja; Paul Buitelaar
    Exploring ESA to Improve Word Relatedness
  8. S14-1007 [revisions: v2]: Gabriel Bernier-Colborne
    Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor
  9. S14-1008: Daniel Dahlmeier
    Learning the Peculiar Value of Actions
  10. S14-1009: Kathrin Eichler; Aleksandra Gabryszak; Günter Neumann
    An analysis of textual inference in German customer emails
  11. S14-1010: Anand Gupta; Manpreet Kaur; Shachar Mirkin; Adarsh Singh; Aseem Goyal
    Text Summarization through Entailment-based Minimum Vertex Cover
  12. S14-1011: Wojciech Jaworski; Adam Przepiórkowski
    Semantic Roles in Grammar Engineering
  13. S14-1012: Rasoul Kaljahi; Jennifer Foster; Johann Roturier
    Semantic Role Labelling with minimal resources: Experiments with French
  14. S14-1013: Nghia The Pham; Lorenzo Ferrone; Fabio Massimo Zanzotto
    Compositional Distributional Semantics Models in Chunk-based Smoothed Tree Kernels
  15. S14-1014: James Pustejovsky; Nikhil Krishnaswamy
    Generating Simulations of Motion Events from Verbal Descriptions
  16. S14-1015: Mark Yatskar; Michel Galley; Lucy Vanderwende; Luke Zettlemoyer
    See No Evil, Say No Evil: Description Generation from Densely Labeled Images
  17. S14-1016: Anh Tran; Mihai Surdeanu; Paul Cohen
    Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge
  18. S14-1017: Can Özmen; Alexander Streicher; Andrea Zielinski
    Using Text Segmentation Algorithms for the Automatic Generation of E-Learning Courses
  19. S14-1018 [revisions: v2]: William Schuler; Adam Wheeler
    Cognitive Compositional Semantics using Continuation Dependencies
  20. S14-1019: Raquel Fernandez; Staffan Larsson
    Vagueness and Learning: A Type-Theoretic Approach
  21. S14-1020: Gabriella Lapesa; Stefan Evert; Sabine Schulte im Walde
    Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models
  22. S14-1021: Germán Kruszewski; Marco Baroni
    Dead parrots make bad pets: Exploring modifier effects in noun phrases
  23. S14-1022: Stefan Bott; Sabine Schulte im Walde
    Syntactic Transfer Patterns of German Particle Verbs and their Impact on Lexical Semantics

2013

  1. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

  2. S13-1001: Edward Grefenstette
    Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
  3. S13-1002: Islam Beltagy; Cuong Chau; Gemma Boleda; Dan Garrette; Katrin Erk; Raymond Mooney
    Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
  4. S13-1003: Hui Shen; Razvan Bunescu; Rada Mihalcea
    Coarse to Fine Grained Sense Disambiguation in Wikipedia
  5. S13-1004: Eneko Agirre; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre; Weiwei Guo
    *SEM 2013 shared task: Semantic Textual Similarity
  6. S13-1005: Lushan Han; Abhay L. Kashyap; Tim Finin; James Mayfield; Jonathan Weese
    UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
  7. S13-1006: Aliaksei Severyn; Massimo Nicosia; Alessandro Moschitti
    iKernels-Core: Tree Kernel Learning for Textual Similarity
  8. S13-1007: Danilo Croce; Valerio Storch; Roberto Basili
    UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression
  9. S13-1008: Erwin Marsi; Hans Moen; Lars Bungum; Gleb Sizov; Björn Gambäck; André Lynum
    NTNU-CORE: Combining strong features for semantic similarity
  10. S13-1009: Sai Wang; Ru Li; Ruibo Wang; Zhiqiang Wang; Xia Zhang
    SXUCFN-Core: STS Models Integrating FrameNet Parsing Information
  11. S13-1010: Judita Preiss; Mark Stevenson
    Distinguishing Common and Proper Nouns
  12. S13-1011: Tamara Polajnar; Laura Rimell; Douwe Kiela
    UCAM-CORE: Incorporating structured distributional similarity into STS
  13. S13-1012: Jian Xu; Qin Lu
    PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses
  14. S13-1013: Michael Heilman; Nitin Madnani
    HENRY-CORE: Domain Adaptation and Stacking for Text Similarity
  15. S13-1014: Nikolaos Malandrakis; Elias Iosif; Vassiliki Prokopi; Alexandros Potamianos; Shrikanth Narayanan
    DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation
  16. S13-1015: Alexander Chávez; Héctor Dávila; Yoan Gutiérrez; Armando Collazo; José I. Abreu; Antonio Fernández Orquín; Andrés Montoyo; Rafael Muñoz
    UMCC_DLSI: Textual Similarity based on Lexical-Semantic features
  17. S13-1016: Lubomir Otrusina; Pavel Smrz
    BUT-TYPED: Using domain knowledge for computing typed similarity
  18. S13-1017: Zhu Tiantian; Man Lan
    ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements
  19. S13-1018: Eneko Agirre; Nikolaos Aletras; Aitor Gonzalez-Agirre; German Rigau; Mark Stevenson
    UBC_UOS-TYPED: Regression for typed-similarity
  20. S13-1019: Hermann Ziak; Roman Kern
    KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases
  21. S13-1020: Alberto Barrón-Cedeño; Lluís Màrquez; Maria Fuentes; Horacio Rodriguez; Jordi Turmo
    UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?
  22. S13-1021: Stephen Wu; Dongqing Zhu; Ben Carterette; Hongfang Liu
    MayoClinicNLP–CORE: Semantic representations for textual similarity
  23. S13-1022: Eric Yeh
    SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity
  24. S13-1023: Davide Buscaldi; Joseph Le Roux; Jorge J. Garcia Flores; Adrian Popescu
    LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features
  25. S13-1024: Annalina Caputo; Pierpaolo Basile; Giovanni Semeraro
    UNIBA-CORE: Combining Strategies for Semantic Textual Similarity
  26. S13-1025: Md. Sultan; Steven Bethard; Tamara Sumner
    DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity
  27. S13-1026: Paul Greiner; Thomas Proisl; Stefan Evert; Besim Kabashi
    KLUE-CORE: A regression model of semantic textual similarity
  28. S13-1027: Sara Noeman
    IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity
  29. S13-1028: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity
  30. S13-1029: Ehsan Shareghi; Sabine Bergler
    CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity
  31. S13-1030: Spandana Gella; Bahar Salehi; Marco Lui; Karl Grieser; Paul Cook; Timothy Baldwin
    UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity
  32. S13-1031: Avishek Dan; Pushpak Bhattacharyya
    CFILT-CORE: Semantic Textual Similarity using Universal Networking Language
  33. S13-1032: Carmen Banea; Yoonjung Choi; Lingjia Deng; Samer Hassan; Michael Mohler; Bishan Yang; Claire Cardie; Rada Mihalcea; Jan Wiebe
    CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge
  34. S13-1033: Fernando Sánchez-Vega; Manuel Montes-y-Gómez; Paolo Rosso; Luis Villaseñor-Pineda
    INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity
  35. S13-1034: Ergun Bicici; Josef Van Genabith
    CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity
  36. S13-1035: Yoav Goldberg; Jon Orwant
    A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books
  37. S13-1036: Spandana Gella; Paul Cook; Bo Han
    Unsupervised Word Usage Similarity in Social Media Texts
  38. S13-1037: David Forsyth
    More Words and Bigger Pictures
  39. S13-1038: Sabine Schulte im Walde; Stefan Müller; Stefan Roller
    Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds
  40. S13-1039: Bahar Salehi; Paul Cook
    Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages
  41. S13-1040: Ekaterina Shutova
    Metaphor Identification as Interpretation
  42. S13-1041: Andrea Horbach; Alexis Palmer; Manfred Pinkal
    Using the text to evaluate short answers for reading comprehension exercises
  43. S13-1042: Hansen Andrew Schwartz; Johannes Eichstaedt; Eduardo Blanco; Lukasz Dziurzyński; Margaret L. Kern; Stephanie Ramones; Martin Seligman; Lyle Ungar
    Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach
  44. S13-1043: Michael Roth; Anette Frank
    Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling
  45. S13-1044: Mikhail Kozhevnikov; Ivan Titov
    Bootstrapping Semantic Role Labelers from Parallel Data
  46. S13-1045: Qingqing Cai; Alexander Yates
    Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
  47. Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

  48. S13-2001: Naushad UzZaman; Hector Llorens; Leon Derczynski; James Allen; Marc Verhagen; James Pustejovsky
    SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
  49. S13-2002: Steven Bethard
    ClearTK-TimeML: A minimalist approach to TempEval 2013
  50. S13-2003: Jannik Strötgen; Julian Zell; Michael Gertz
    HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
  51. S13-2004: Hyuckchul Jung; Amanda Stent
    ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
  52. S13-2005: Matteo Negri; Alessandro Marchetti; Yashar Mehdad; Luisa Bentivogli; Danilo Giampiccolo
    Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
  53. S13-2006: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
  54. S13-2007: Ioannis Korkontzelos; Torsten Zesch; Fabio Massimo Zanzotto; Chris Biemann
    SemEval-2013 Task 5: Evaluating Phrasal Semantics
  55. S13-2008: Christian Wartena
    HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
  56. S13-2009: Michele Filannino; Gavin Brown; Goran Nenadic
    ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
  57. S13-2010: Vanni Zavarella; Hristo Tanev
    FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
  58. S13-2011: Anup Kumar Kolya; Amitava Kundu; Rajdeep Gupta; Asif Ekbal; Sivaji Bandyopadhyay
    JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations
  59. S13-2012: Nate Chambers
    NavyTime: Event and Time Ordering from Raw Text
  60. S13-2013: Angel Chang; Christopher D. Manning
    SUTime: Evaluation in TempEval-3
  61. S13-2014: Oleksandr Kolomiyets; Marie-Francine Moens
    KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
  62. S13-2015: Natsuda Laokulrat; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama
    UTTime: Temporal Relation Classification using Deep Syntactic Features
  63. S13-2016: Héctor Dávila; Antonio Fernández Orquín; Alexander Chávez; Yoan Gutiérrez; Armando Collazo; José I. Abreu; Andrés Montoyo; Rafael Muñoz
    UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance
  64. S13-2017: Tim Van de Cruys; Stergos Afantenos; Philippe Muller
    MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
  65. S13-2018: Lorna Byrne; Caroline Fenlon; John Dunnion
    IIRG: A Naive Approach to Evaluating Phrasal Semantics
  66. S13-2019: Reda Siblini; Leila Kosseim
    ClaC: Semantic Relatedness of Words and Phrases
  67. S13-2020: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
  68. S13-2021: Jiang Zhao; Man Lan; Zheng-Yu Niu
    ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
  69. S13-2022: Darnes Vilariño; David Pinto; Saul León; Yuridiana Aleman; Helena Gómez
    BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
  70. S13-2023: Marco Turchi; Matteo Negri
    ALTN: Word Alignment Features for Cross-lingual Textual Entailment
  71. S13-2024: Yvette Graham; Bahar Salehi; Timothy Baldwin
    Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
  72. S13-2025: Iris Hendrickx; Zornitsa Kozareva; Preslav Nakov; Diarmuid Ó Séaghdha; Stan Szpakowicz; Tony Veale
    SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
  73. S13-2026: Tim Van de Cruys; Stergos Afantenos; Philippe Muller
    MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
  74. S13-2027: Yannick Versley
    SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
  75. S13-2028: Nitesh Surtani; Arpita Batra; Urmi Ghosh; Soma Paul
    IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing
  76. S13-2029: Els Lefever; Véronique Hoste
    SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
  77. S13-2030: Liling Tan; Francis Bond
    XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
  78. S13-2031: Alex Rudnick; Can Liu; Michael Gasser
    HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
  79. S13-2032: Marianna Apidianaki
    LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering
  80. S13-2033: Maarten van Gompel; Antal van den Bosch
    WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
  81. S13-2034: Marine Carpuat
    NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
  82. S13-2035: Roberto Navigli; Daniele Vannella
    SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
  83. S13-2036: Ted Pedersen
    Duluth : Word Sense Induction Applied to Web Page Clustering
  84. S13-2037: Satyabrata Behera; Upasana Gaikwad; Ramakrishna Bairi; Ganesh Ramakrishnan
    SATTY : Word Sense Induction Application in Web Search Clustering
  85. S13-2038: Hans-Peter Zorn; Iryna Gurevych
    UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
  86. S13-2039: Jey Han Lau; Paul Cook; Timothy Baldwin
    unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
  87. S13-2040: Roberto Navigli; David Jurgens; Daniele Vannella
    SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
  88. S13-2041: Didier Schwab; Andon Tchechmedjiev; Jérôme Goulian; Mohammad Nasiruddin; Gilles Sérasset; Hervé Blanchon
    GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
  89. S13-2042: Yoan Gutiérrez; Yenier Castañeda; Andy González; Rainel Estrada; Dennys D. Piug; Jose I. Abreu; Roger Pérez; Antonio Fernández Orquín; Andrés Montoyo; Rafael Muñoz; Franc Camara
    UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation
  90. S13-2043: Steve L. Manion; Raazesh Sainudiin
    DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
  91. S13-2044: Oleksandr Kolomiyets; Parisa Kordjamshidi; Marie-Francine Moens; Steven Bethard
    SemEval-2013 Task 3: Spatial Role Labeling
  92. S13-2045: Myroslava Dzikovska; Rodney Nielsen; Chris Brew; Claudia Leacock; Danilo Giampiccolo; Luisa Bentivogli; Peter Clark; Ido Dagan; Hoa Trang Dang
    SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
  93. S13-2046: Michael Heilman; Nitin Madnani
    ETS: Domain Adaptation and Stacking for Short Answer Scoring
  94. S13-2047: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
  95. S13-2048: Omer Levy; Torsten Zesch; Ido Dagan; Iryna Gurevych
    UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
  96. S13-2049: David Jurgens; Ioannis Klapaftis
    SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
  97. S13-2050: Osman Baskaya; Enis Sert; Volkan Cirik; Deniz Yuret
    AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
  98. S13-2051: Jey Han Lau; Paul Cook; Timothy Baldwin
    unimelb: Topic Modelling-based Word Sense Induction
  99. S13-2052: Preslav Nakov; Sara Rosenthal; Zornitsa Kozareva; Veselin Stoyanov; Alan Ritter; Theresa Wilson
    SemEval-2013 Task 2: Sentiment Analysis in Twitter
  100. S13-2053: Saif Mohammad; Svetlana Kiritchenko; Xiaodan Zhu
    NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
  101. S13-2054: Tobias Günther; Lenz Furrer
    GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
  102. S13-2055: Lee Becker; George Erhart; David Skiba; Valentine Matula
    AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
  103. S13-2056: Isabel Segura-Bedmar; Paloma Martínez; María Herrero Zazo
    SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
  104. S13-2057: Md. Faisal Mahbub Chowdhury; Alberto Lavelli
    FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
  105. S13-2058: Tim Rocktäschel; Torsten Huber; Michael Weidlich; Ulf Leser
    WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
  106. S13-2059: Mohamed Dermouche; Leila Khouas; Julien Velcin; Sabine Loudcher
    AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
  107. S13-2060: Giuseppe Castellucci; Simone Filice; Danilo Croce; Roberto Basili
    UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
  108. S13-2061: Tawunrat Chalothorn; Jeremy Ellman
    TJP: Using Twitter to Analyze the Polarity of Contexts
  109. S13-2062: Hamid Poursepanj; Josh Weissbock; Diana Inkpen
    uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
  110. S13-2063: Zhemin Zhu; Djoerd Hiemstra; Peter Apers; Andreas Wombacher
    UT-DB: An Experimental Study on Sentiment Analysis in Twitter
  111. S13-2064: Ganesh Harihara; Eugene Yang; Nate Chambers
    USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
  112. S13-2065: Thomas Proisl; Paul Greiner; Stefan Evert; Besim Kabashi
    KLUE: Simple and robust methods for polarity classification
  113. S13-2066: Eugenio Martínez-Cámara; Arturo Montejo-Ráez; M. Teresa Martín-Valdivia; L. Alfonso Ureña-López
    SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
  114. S13-2067: Zhu Tiantian; Zhang Fangxi; Man Lan
    ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
  115. S13-2068: Clement Levallois
    Umigon: sentiment analysis for tweets based on terms lists and heuristics
  116. S13-2069: Morgane Marchand; Alexandru Ginsca; Romaric Besançon; Olivier Mesnard
    [LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
  117. S13-2070: Sam Clark; Rich Wicentwoski
    SwatCS: Combining simple classifiers with estimated accuracy
  118. S13-2071: Øyvind Selmer; Mikael Brevik; Björn Gambäck; Lars Bungum
    NTNU: Domain Semi-Independent Short Message Sentiment Classification
  119. S13-2072: Nikolaos Malandrakis; Abe Kazemzadeh; Alexandros Potamianos; Shrikanth Narayanan
    SAIL: A hybrid approach to sentiment analysis
  120. S13-2073: Yoan Gutiérrez; Andy González; Roger Pérez; José I. Abreu; Antonio Fernández Orquín; Alejandro Mosquera; Andrés Montoyo; Rafael Muñoz; Franc Camara
    UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter
  121. S13-2074: Robert Remus
    ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
  122. S13-2075: Hussam Hamdan; Frederic Béchet; Patrice Bellot
    Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
  123. S13-2076: Alexandra Balahur
    OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
  124. S13-2077: Md. Faisal Mahbub Chowdhury; Marco Guerini; Sara Tonelli; Alberto Lavelli
    FBK: Sentiment Analysis in Twitter with Tweetsted
  125. S13-2078: Gizem Gezici; Rahim Dehkharghani; Berrin Yanikoglu; Dilek Tapucu; Yucel Saygin
    SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
  126. S13-2079: Sara Rosenthal; Kathy McKeown
    Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
  127. S13-2080: Carlos Rodriguez-Penagos; Jordi Atserias Batalla; Joan Codina-Filbà; David García-Narbona; Jens Grivolla; Patrik Lambert; Roser Saurí
    FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
  128. S13-2081: Silvio Moreira; João Filgueiras; Bruno Martins; Francisco Couto; Mário J. Silva
    REACTION: A naive machine learning approach for sentiment classification
  129. S13-2082: Karan Chawla; Ankit Ramteke; Pushpak Bhattacharyya
    IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
  130. S13-2083: Reynier Ortega Bueno; Adrian Fonseca Bruzón; Yoan Gutiérrez; Andres Montoyo
    SSA-UO: Unsupervised Sentiment Analysis in Twitter
  131. S13-2084: José Saias; Hilário Fernandes
    senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
  132. S13-2085: Hilke Reckman; Cheyanne Baird; Jean Crawford; Richard Crowell; Linnea Micciulla; Saratendu Sethi; Fruzsina Veress
    teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
  133. S13-2086: Qi Han; Junfei Guo; Hinrich Schuetze
    CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
  134. S13-2087: Harshit Jain; Aditya Mogadala; Vasudeva Varma
    sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
  135. S13-2088: Ameeta Agrawal; Aijun An
    Kea: Expression-level Sentiment Analysis from Twitter Data
  136. S13-2089: Sapna Negi; Michael Rosner
    UoM: Using Explicit Semantic Analysis for Classifying Sentiments
  137. S13-2090: Wesley Baugh
    bwbaugh : Hierarchical sentiment analysis with partial self-training
  138. S13-2091: Prabu palanisamy; Vineet Yadav; Harsha Elchuri
    Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
  139. S13-2092: Viktor Hangya; Gabor Berend; Richárd Farkas
    SZTE-NLP: Sentiment Detection on Twitter Messages
  140. S13-2093: Nadin Kökciyan; Arda Çelebi; Arzucan Özgür; Suzan Üsküdarlı
    BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
  141. S13-2094: Prodromos Malakasiotis; Rafael Michael Karampatsis; Konstantina Makrynioti; John Pavlopoulos
    nlp.cs.aueb.gr: Two Stage Sentiment Analysis
  142. S13-2095: Pedro Balage Filho; Thiago Pardo
    NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
  143. S13-2096: Emanuele Bastianelli; Danilo Croce; Roberto Basili; Daniele Nardi
    UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
  144. S13-2097: Itziar Aldabe; Montse Maritxalar; Oier Lopez de Lacalle
    EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
  145. S13-2098: Ergun Bicici; Josef van Genabith
    CNGL: Grading Student Answers by Acts of Translation
  146. S13-2099: Milen Kouylekov; Luca Dini; Alessio Bosca; Marco Trevisan
    Celi: EDITS and Generic Text Pair Classification
  147. Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) – Long Papers

  148. W13-0101: Omri Abend; Ari Rappoport
    UCCA: A Semantics-based Grammatical Annotation Scheme
  149. W13-0102: Nikolaos Aletras; Mark Stevenson
    Evaluating Topic Coherence Using Distributional Semantics
  150. W13-0103: James Allen; Will de Beaumont; Lucian Galescu; Jansen Orfan; Mary Swift; Choh Man Teng
    Automatically Deriving Event Ontologies for a CommonSense Knowledge Base
  151. W13-0104: Gemma Boleda; Marco Baroni; The Nghia Pham; Louise McNally
    Intensionality was only alleged: On adjective-noun composition in distributional semantics
  152. W13-0105: Baptiste Chardon; Farah Benamara; Yannick Mathieu; Vladimir Popescu; Nicholas Asher
    Sentiment Composition Using a Parabolic Model
  153. W13-0106: Francisco Costa; António Branco
    Temporal Relation Classification Based on Temporal Reasoning
  154. W13-0107: Leon Derczynski; Robert Gaizauskas
    Empirical Validation of Reichenbach’s Tense Framework
  155. W13-0108: Daniel Duma; Ewan Klein
    Generating Natural Language from Linked Data: Unsupervised template extraction
  156. W13-0109: Katrin Erk
    Towards a semantics for distributional representations
  157. W13-0110: Arash Eshghi; Matthew Purver; Julian Hough
    Probabilistic induction for an incremental semantic grammar
  158. W13-0111: Philip Gorinski; Josef Ruppenhofer; Caroline Sporleder
    Towards Weakly Supervised Resolution of Null Instantiations
  159. W13-0112: E. Grefenstette; G. Dinu; Y. Zhang; M. Sadrzadeh; M. Baroni
    Multi-Step Regression Learning for Compositional Distributional Semantics
  160. W13-0113: Blake Howald; Ravikumar Kondadadi; Frank Schilder
    Domain Adaptable Semantic Clustering in Statistical NLG
  161. W13-0114: Egoitz Laparra; German Rigau
    Sources of Evidence for Implicit Argument Resolution
  162. W13-0115: Andrew McKinlay; Katja Markert
    Recognising Sets and Their Elements: Tree Kernels for Entity Instantiation Identification
  163. W13-0116: Olga Nikitina; Sebastian Padó
    A corpus study of clause combination
  164. W13-0117: Octavian Popescu
    Learning Corpus Patterns Using Finite State Automata
  165. W13-0118: Bryan Rink; Sanda Harabagiu
    The Impact of Selectional Preference Agreement on Semantic Relational Similarity
  166. W13-0119: Kirk Roberts; Michael A. Skinner; Sanda M. Harabagiu
    Recognizing Spatial Containment Relations between Event Mentions
  167. W13-0120: Sylvia Springorum; Jason Utt; Sabine Schulte im Walde
    Regular Meaning Shifts in German Particle Verbs: A Case Study
  168. W13-0121: Assaf Toledo; Stavroula Alexandropoulou; Sophia Katrenko; Heidi Klockmann; Pepijn Kokke; Yoad Winter
    Semantic Annotation of Textual Entailment
  169. W13-0122: Noortje J. Venhuizen; Johan Bos; Harm Brouwer
    Parsimonious Semantic Representations with Projection Pointers
  170. W13-0123: Yannick Versley
    Subgraph-based Classification of Explicit and Implicit Discourse Relations
  171. W13-0124: Bonnie Webber
    What excludes an Alternative in Coherence Relations?
  172. W13-0125: Britta D. Zeller; Sebastian Padó
    A Search Task Dataset for German Textual Entailment
  173. Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013) – Short Papers

  174. W13-0201: Tore Bruland
    Pre-Processing MRSes
  175. W13-0202: Harry Bunt
    The semantic annotation of quantification
  176. W13-0203: Kilian Evang; Johan Bos
    Scope Disambiguation as a Tagging Task
  177. W13-0204: Aurelie Herbelot
    What is in a text, what isn’t, and what this has to do with lexical semantics
  178. W13-0205: Elias Iosif; Alexandros Potamianos; Maria Giannoudaki; Kalliopi Zervanou
    Semantic Similarity Computation for Abstract and Concrete Nouns Using Network-based Distributional Semantic Models
  179. W13-0206: Derek Kelleher; Carl Vogel
    Finite State Temporality and Context-Free Languages
  180. W13-0207: Yuliya Lierler; Vladimir Lifschitz
    Logic Programs vs. First-Order Formulas in Textual Inference
  181. W13-0208 [attachment]: Johann-Mattis List; Anselm Terhalle; Matthias Urban
    Using Network Approaches to Enhance the Analysis of Cross-Linguistic Polysemies
  182. W13-0209: Paweł Łupkowski; Jonathan Ginzburg
    A corpus-based taxonomy of question responses
  183. W13-0210: Jeff Mitchell
    Learning Semantic Representations in a Bigram Language Model
  184. W13-0211: Tatjana Moor; Michael Roth; Anette Frank
    Predicate-specific Annotations for Implicit Role Binding: Corpus Annotation, Data Analysis and Evaluation Experiments
  185. W13-0212: Artemis Parvizi; Caroline Jay; Christopher Mellish; Jeff Z. Pan; Yuan Ren; Robert Stevens; Kees van Deemter
    A Pilot Experiment in Knowledge Authoring as Dialogue
  186. W13-0213: Yuliya Lierler; Peter Schüller
    Towards a Tight Integration of Syntactic Parsing with Semantic Disambiguation by means of Declarative Programming
  187. W13-0214: Matthew Stone; Una Stojnic; Ernest Lepore
    Situated Utterances and Discourse Relations
  188. W13-0215: Noortje J. Venhuizen; Valerio Basile; Kilian Evang; Johan Bos
    Gamification for Word Sense Labeling
  189. W13-0216: Alessandra Zarcone; Alessandro Lenci; Sebastian Padó; Jason Utt
    Fitting, Not Clashing! A Distributional Semantic Model of Logical Metonymy
  190. Proceedings of the IWCS 2013 Workshop on Annotation of Modal Meanings in Natural Language (WAMM)

  191. W13-0301: Luciana Beatriz Avila; Heliana Mello
    Challenges in modality annotation in a Brazilian Portuguese Spontaneous Speech Corpus
  192. W13-0302: Delphine Battistelli; Marine Damiani
    Analyzing modal and enunciative discursive heterogeneity: how to combine semantic resources and a syntactic parser analysis
  193. W13-0303: Marta Carretero; Juan Rafael Zamorano-Mansilla
    An analysis of disagreement-provoking factors in the analysis of epistemic modality and evidentiality: the case of English adverbials
  194. W13-0304: Yanyan Cui; Ting Chi
    Annotating Modal Expressions in the Chinese Treebank
  195. W13-0305: Claudia Roch
    Influence of modality markers on the conditional interpretation of the German preposition ohne
  196. W13-0306: Aynat Rubinstein; Hillary Harner; Elizabeth Krawczyk; Daniel Simonson; Graham Katz; Paul Portner
    Toward Fine-grained Annotation of Modality in Text
  197. W13-0307: Nianwen Xue; Yuchen Zhang; Yaqin Yang
    Distant annotation of Chinese tense and modality
  198. Proceedings of the IWCS 2013 Workshop on Computational Semantics in Clinical Text (CSCT 2013)

  199. W13-0401: Salah Aït-Mokhtar; Caroline Hagège; Pajolma Rupi
    A Framework to Generate Sets of Terms from Large Scale Medical Vocabularies for Natural Language Processing
  200. W13-0402: Christine Howes; Matthew Purver; Rose McCabe
    Investigating Topic Modelling for Therapy Dialogue Analysis
  201. W13-0403: Dimitrios Kokkinakis
    Figurative Language in Swedish Clinical Texts
  202. W13-0404: Siddhartha Jonnalagadda; Trevor Cohen; Stephen Wu; Hongfang Liu; Graciela Gonzalez
    Evaluating the Use of Empirically Constructed Lexical Resources for Named Entity Recognition
  203. W13-0405: Rohit J. Kate
    Towards Converting Clinical Phrases into SNOMED CT Expressions
  204. W13-0406: Sunghwan Sohn; Cheryl Clark; Scott Halgrim; Sean Murphy; Siddhartha Jonnalagadda; Kavishwar Wagholikar; Stephen Wu; Christopher Chute; Hongfang Liu
    Analysis of Cross-Institutional Medication Information Annotations in Clinical Notes
  205. W13-0407: Camilo Thorne; Marco Montali; Diego Calvanese; Elena Cardillo; Claudio Eccher
    The VERICLIG Project: Extraction of Computer Interpretable Guidelines via Syntactic and Semantic Annotation
  206. Proceedings of the IWCS 2013 Workshop Towards a Formal Distributional Semantics

  207. W13-0601: Melanie J. Bell; Martin Schäfer
    Semantic transparency: challenges for distributional semantics
  208. W13-0602: Ann Copestake
    Can distributional approaches improve on Good Old-Fashioned Lexical Semantics?
  209. W13-0603: Nghia Pham; Raffaella Bernardi; Yao Zhong Zhang; Marco Baroni
    Sentence paraphrase detection: When determiners and word order make the difference
  210. W13-0604: Jason Utt; Alessandro Lenci; Sebastian Padó; Alessandra Zarcone
    The Curious Case of Metonymic Verbs: A Distributional Characterization
  211. Proceedings of the IWCS 2013 Workshop on Computational Models of Spatial Language Interpretation and Generation (CoSLI-3)

  212. W13-0701: Simon Dobnik; Robin Cooper
    Spatial Descriptions in Type Theory with Records
  213. W13-0702: Jana Götze; Johan Boye
    Deriving Salience Models from Human Route Directions
  214. W13-0703: Raveesh Meena; Gabriel Skantze; Joakim Gustafson
    Human Evaluation of Conceptual Route Graphs for Interpreting Spoken Route Descriptions
  215. W13-0704: Joanna Isabelle Olszewska
    Clock-Modeled Ternary Spatial Relations for Visual Scene Analysis
  216. W13-0705: James Pustejovsky
    Where Things Happen: On the Semantics of Event Localization
  217. Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora

  218. W13-3801: Eneko Agirre
    Text Understanding using Knowledge-Bases and Random Walks
  219. W13-3802: Johan Bos
    The Groningen Meaning Bank
  220. W13-3803: Philipp Cimiano
    Ontology Lexicalization as a core task in a language-enhanced Semantic Web
  221. W13-3804: Peter Clark
    From Textual Entailment to Knowledgeable Machines
  222. W13-3805: Ido Dagan; Bernardo Magnini
    Entailment graphs for text exploration
  223. W13-3806: Mona Diab
    Semantic Textual Similarity: past present and future
  224. W13-3807: Patrick Hanks
    Corpus-driven Lexical Analysis: Norms and Exploitations in Word Use
  225. W13-3808: Elisabetta Jezek
    Sweetening Ontologies cont'd
  226. W13-3809: Mirella Lapata
    Unsupervised Relation Extraction with General Domain Knowledge
  227. W13-3810: Günter Neumann; Sebastian Padó
    Design and Realization of the EXCITEMENT Open Platform for Textual Entailment
  228. W13-3811: Octavian Popescu
    Regular Patterns - Probably Approximately Correct Language Model
  229. W13-3812: Dan Roth
    Computational Frameworks for Supporting Textual Inference
  230. W13-3813: Sabine Schulte in Walde
    Potential and limits of distributional approaches for semantic relatedness
  231. W13-3814: Paolo Annesi; Danilo Croce; Roberto Basili
    Towards Compositional Tree Kernels
  232. W13-3815: Elena Cabrio; Serena Villata
    Detecting Bipolar Semantic Relations among Natural Language Arguments with Textual Entailment: a Study.
  233. W13-3816: Tommaso Caselli; Carlo Strapparava; Laure Vieu; Guido Vetere
    Aligning Verb Senses in Two Italian Lexical Semantic Resources
  234. W13-3817: Ekaterina Ovchinnikova; Andrew Gordon; Jerry Hobbs
    Abduction for Discourse Interpretation: A Probabilistic Framework
  235. W13-3818: Nai-Lung Tsao; David Wible
    Word similarity using constructions as contextual features
  236. W13-3819: Amal Alshahrani; Allan Ramsay
    Inference for Natural Language
  237. W13-3820 [revisions: v2]: Emanuele Bastianelli; Giuseppe Castellucci; Danilo Croce; Roberto Basili
    Textual Inference and Meaning Representation in Human Robot Interaction
  238. W13-3821: Jane Bradbury; Ismaïl El Maarouf
    An empirical classification of verbs based on Semantic Types: the case of the 'poison' verbs.
  239. W13-3822: Matthew Capetola
    Quantifiers: Experimenting with Higher-Order Meaning in Distributional Semantic Space
  240. W13-3823: Anca Dinu; Alina Ciobanu
    Alternative measures of word relatedness in distributional semantics
  241. W13-3824: Lorenzo Ferrone; Fabio Massimo Zanzotto
    Linear Compositional Distributional Semantics and Structural Kernels
  242. W13-3825: Florentina Hristea
    On a Dependency-based Semantic Space for Unsupervised Noun Sense Disambiguation with an Underlying Naïve Bayes Model
  243. W13-3826: Ismaïl El Maarouf; Vít Baisa
    Automatic classification of semantic patterns from the Pattern Dictionary of English Verbs
  244. W13-3827: Michael Marlen; David Gustafson
    Extending the Semantics in Natural Language Understanding
  245. W13-3828: Márton Miháltz; Bálint Sass
    What Do We Drink? Automatically Extending Hungarian WordNet With Selectional Preference Relations
  246. W13-3829: Vlad Niculae
    Comparison pattern matching and creative simile recognition
  247. W13-3830: Vlad Niculae; Octavian Popescu
    Determining is-a relationships for Textual Entailment
  248. Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013)

  249. W13-5401: James Pustejovsky
    Dynamic Event Structure and Habitat Theory
  250. W13-5402: Chu-Ren Huang; Kathleen Ahrens; Francesca Quattri
    Metaphor and Qualia: Embodiment or Eventuality
  251. W13-5403: Chan-Chia Hsu; Shu-Kai Hsieh
    To Coerce or Not to Coerce: A Corpus-based Exploration of Some Complement Coercion Verbs in Chinese
  252. W13-5404: Lauren Romeo; Sara Mendes; Núria Bel
    Towards the automatic classification of complex-type nominals
  253. W13-5405: Zuoyan Song; Qingqing Zhao
    Qualia Relations in Metaphorical Noun-Noun Compounds
  254. W13-5406: Tommaso Caselli; Russo Irene
    From Glosses to Qualia: Qualia Extraction from Senso Comune
  255. W13-5407: Claire Bonial; Orin Hargraves; Martha Palmer
    Expanding VerbNet with Sketch Engine
  256. W13-5408: Hongzhi Xu; Chu-Ren Huang
    Primitives of Events and the Semantic Representation
  257. W13-5409: Fahad Khan; Francesca Frontini; Riccardo Del Gratta; Monica Monachini; Valeria Quochi
    Generative Lexicon Theory and Linguistic Linked Open Data
  258. W13-5410: Irene Russo; Francesca Frontini; Irene De Felice; Fahad Khan; Monica Monachini
    Disambiguation of Basic Action Types through Nouns' Telic Qualia
  259. W13-5411: Lauren Romeo; Héctor Martínez Alonso; Núria Bel
    Class-based Word Sense Induction for dot-type nominals
  260. W13-5412: Rachel Chasin; Anna Rumshisky
    Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction
  261. W13-5413: Olga Batiukova; James Pustejovsky
    Informativeness Constraints and Compositionality
  262. W13-5414: Sumiyo Nishiguchi
    Extended Generative Lexicon
  263. W13-5415: Yu-Yun Chang; Shu-Kai Hsieh
    Features of Verb Complements in Co-composition: A case study of Chinese baking verb using Weibo corpus
  264. W13-5416: August F.Y. Chao; Siaw-Fong Chung
    A Lexico-Semantic Analysis of Chinese Locality Phrases - A Topic Clustering Approach
  265. W13-5417: Author and Keyword Index

2012

  1. Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

  2. W12-3701: Rada Mihalcea
    Multimodal Sentiment Analysis
  3. W12-3702: Janyce Wiebe
    Subjectivity Word Sense Disambiguation
  4. 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
  5. W12-3704: Akshat Bakliwal; Piyush Arora; Senthil Madhappan; Nikhil Kapre; Mukesh Singh; Vasudeva Varma
    Mining Sentiments from Tweets
  6. W12-3705: Muhammad Abdul-Mageed; Sandra Kuebler; Mona Diab
    SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media
  7. W12-3706: Boyan Bonev; Gema Ramìrez Sánchez; Sergio Ortiz Rojas
    Opinum: statistical sentiment analysis for opinion classification
  8. W12-3707: Amitava Das; Gambäck Björn
    Sentimantics: Conceptual Spaces for Lexical Sentiment Polarity Representation with Contextuality
  9. W12-3708: Maya Ando; Shun Ishizaki
    Analysis of Travel Review Data from Reader’s Point of View
  10. W12-3709: Alexandra Balahur; Marco Turchi
    Multilingual Sentiment Analysis using Machine Translation?
  11. W12-3710: Jie Yin; Nalin Narang; Paul Thomas; Cecile Paris
    Unifying Local and Global Agreement and Disagreement Classification in Online Debates
  12. W12-3711: Diman Ghazi; Diana Inkpen; Stan Szpakowicz
    Prior versus Contextual Emotion of a Word in a Sentence
  13. W12-3712: Phillip Smith; Mark Lee
    Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain
  14. W12-3713: Kevin Reschke; Pranav Anand
    POLITICAL-ADS: An annotated corpus for modeling event-level evaluativity
  15. 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
  16. W12-3715: Gábor Berend; Veronika Vincze
    How to Evaluate Opinionated Keyphrase Extraction?
  17. W12-3716: Josef Ruppenhofer; Ines Rehbein
    Semantic frames as an anchor representation for sentiment analysis
  18. W12-3717: Dasha Bogdanova; Paolo Rosso; Thamar Solorio
    On the Impact of Sentiment and Emotion Based Features in Detecting Online Sexual Predators
  19. *SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

  20. S12-1001: Carina Silberer; Anette Frank
    Casting Implicit Role Linking as an Anaphora Resolution Task
  21. S12-1002: Razvan Bunescu
    Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models
  22. S12-1003: Samer Hassan; Carmen Banea; Rada Mihalcea
    Measuring Semantic Relatedness using Multilingual Representations
  23. S12-1004: Bharath Dandala; Rada Mihalcea; Razvan Bunescu
    Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia
  24. S12-1005: Lili Kotlerman; Ido Dagan; Maya Gorodetsky; Ezra Daya
    Sentence Clustering via Projection over Term Clusters
  25. S12-1006: Blake Howald; Martha Abramson
    The Use of Granularity in Rhetorical Relation Prediction
  26. S12-1007: Sophia Katrenko
    "Could you make me a favour and do coffee, please?": Implications for Automatic Error Correction in English and Dutch
  27. S12-1008: Rao Muhammad Adeel Nawab; Mark Stevenson; Paul Clough
    Detecting Text Reuse with Modified and Weighted N-grams
  28. S12-1009: Chaya Liebeskind; Ido Dagan; Jonathan Schler
    Statistical Thesaurus Construction for a Morphologically Rich Language
  29. S12-1010: Yuancheng Tu; Dan Roth
    Sorting out the Most Confusing English Phrasal Verbs
  30. S12-1011: Karl Moritz Hermann; Chris Dyer; Phil Blunsom; Stephen Pulman
    Learning Semantics and Selectional Preference of Adjective-Noun Pairs
  31. S12-1012: Alessandro Lenci; Giulia Benotto
    Identifying hypernyms in distributional semantic spaces
  32. S12-1013: Bert Baumgaertner; Raquel Fernandez; Matthew Stone
    Towards a Flexible Semantics: Colour Terms in Collaborative Reference Tasks
  33. S12-1014: Wesley May; Sanja Fidler; Afsaneh Fazly; Sven Dickinson; Suzanne Stevenson
    Unsupervised Disambiguation of Image Captions
  34. S12-1015: Steffen Eger
    Lexical semantic typologies from bilingual corpora — A framework
  35. S12-1016: Richard Johansson
    Non-atomic Classification to Improve a Semantic Role Labeler for a Low-resource Language
  36. S12-1017: Richard Fothergill; Timothy Baldwin
    Combining resources for MWE-token classification
  37. S12-1018: Anais Cadilhac; Nicholas Asher; Farah Benamara
    Annotating Preferences in Negotiation Dialogues
  38. S12-1019: Brian Murphy; Partha Talukdar; Tom Mitchell
    Selecting Corpus-Semantic Models for Neurolinguistic Decoding
  39. S12-1020: Lauri Karttunen
    Simple and Phrasal Implicatives
  40. S12-1021: Karl Moritz Hermann; Phil Blunsom; Stephen Pulman
    An Unsupervised Ranking Model for Noun-Noun Compositionality
  41. S12-1022: Mehdi Manshadi; James Allen
    Expanding the Range of Tractable Scope-Underspecified Semantic Representations
  42. S12-1023: Gemma Boleda; Sebastian Padó; Jason Utt
    Regular polysemy: A distributional model
  43. S12-1024: Selja Seppälä; Lucie Barque; Alexis Nasr
    Extracting a Semantic Lexicon of French Adjectives from a Large Lexicographic Dictionary
  44. S12-1025: Diarmuid Ó Sèaghdha; Anna Korhonen
    Modelling selectional preferences in a lexical hierarchy
  45. S12-1026: Hagen Fürstenau; Owen Rambow
    Unsupervised Induction of a Syntax-Semantics Lexicon Using Iterative Refinement
  46. S12-1027: David Jurgens
    An Evaluation of Graded Sense Disambiguation using Word Sense Induction
  47. S12-1028: Ashequl Qadir; Ellen Riloff
    Ensemble-based Semantic Lexicon Induction for Semantic Tagging
  48. S12-1029: Dipanjan Das; Andrè F. T. Martins; Noah A. Smith
    An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints
  49. S12-1030: Michael Roth; Anette Frank
    Aligning Predicate Argument Structures in Monolingual Comparable Texts: A New Corpus for a New Task
  50. S12-1031: Andrew MacKinlay; Rebecca Dridan; Diana McCarthy; Timothy Baldwin
    The Effects of Semantic Annotations on Precision Parse Ranking
  51. S12-1032: Eyal Shnarch; Ido Dagan; Jacob Goldberger
    A Probabilistic Lexical Model for Ranking Textual Inferences
  52. S12-1033: Saif Mohammad
    #Emotional Tweets
  53. S12-1034: Juri Ganitkevitch; Benjamin Van Durme; Chris Callison-Burch
    Monolingual Distributional Similarity for Text-to-Text Generation
  54. S12-1035: Roser Morante; Eduardo Blanco
    *SEM 2012 Shared Task: Resolving the Scope and Focus of Negation
  55. S12-1036: Binod Gyawali; Thamar Solorio
    UABCoRAL: A Preliminary study for Resolving the Scope of Negation
  56. S12-1037: Jorge Carrillo de Albornoz; Laura Plaza; Alberto Dìaz; Miguel Ballesteros
    UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation
  57. S12-1038: Miguel Ballesteros; Alberto Dìaz; Virginia Francisco; Pablo Gervás; Jorge Carrillo de Albornoz; Laura Plaza
    UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing
  58. S12-1039: Sabine Rosenberg; Sabine Bergler
    UConcordia: CLaC Negation Focus Detection at *Sem 2012
  59. S12-1040: Valerio Basile; Johan Bos; Kilian Evang; Noortje Venhuizen
    UGroningen: Negation detection with Discourse Representation Structures
  60. S12-1041: Jonathon Read; Erik Velldal; Lilja Øvrelid; Stephan Oepen
    UiO1: Constituent-Based Discriminative Ranking for Negation Resolution
  61. S12-1042: Emanuele Lapponi; Erik Velldal; Lilja Øvrelid; Jonathon Read
    UiO 2: Sequence-labeling Negation Using Dependency Features
  62. S12-1043: Amjad Abu Jbara; Dragomir Radev
    UMichigan: A Conditional Random Field Model for Resolving the Scope of Negation
  63. S12-1044: James Paul White
    UWashington: Negation Resolution using Machine Learning Methods
  64. S12-1045: Md. Faisal Mahbub Chowdhury
    FBK: Exploiting Phrasal and Contextual Clues for Negation Scope Detection
  65. S12-1046: Lucia Specia; Sujay Kumar Jauhar; Rada Mihalcea
    SemEval-2012 Task 1: English Lexical Simplification
  66. S12-1047: David Jurgens; Saif Mohammad; Peter Turney; Keith Holyoak
    SemEval-2012 Task 2: Measuring Degrees of Relational Similarity
  67. S12-1048: parisa kordjamshidi; steven bethard; Marie-Francine Moens
    SemEval-2012 Task 3: Spatial Role Labeling
  68. S12-1049: Peng Jin; Yunfang Wu
    SemEval-2012 Task 4: Evaluating Chinese Word Similarity
  69. S12-1050: Wanxiang Che; Meishan Zhang; Yanqiu Shao; Ting Liu
    SemEval-2012 Task 5: Chinese Semantic Dependency Parsing
  70. S12-1051: Eneko Agirre; Daniel Cer; Mona Diab; Aitor Gonzalez-Agirre
    SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
  71. S12-1052: Andrew Gordon; Zornitsa Kozareva; Melissa Roemmele
    SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning
  72. S12-1053: Matteo Negri; Alessandro Marchetti; Yashar Mehdad; Luisa Bentivogli; Danilo Giampiccolo
    Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization
  73. S12-1054: Anders Johannsen; Hèctor Martìnez; Sigrid Klerke; Anders Søgaard
    EMNLP@CPH: Is frequency all there is to simplicity?
  74. S12-1055: Bryan Rink; Sanda Harabagiu
    UTD: Determining Relational Similarity Using Lexical Patterns
  75. S12-1056: Kirk Roberts; Sanda Harabagiu
    UTD-SpRL: A Joint Approach to Spatial Role Labeling
  76. S12-1057: Yingjie Zhang; Bin Li; Xinyu Dai; Jiajun Chen
    MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012
  77. S12-1058: Zhijun Wu; Xuan Wang; Xinxin Li
    Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features
  78. S12-1059: Daniel Bär; Chris Biemann; Iryna Gurevych; Torsten Zesch
    UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures
  79. S12-1060: Frane Šarić; Goran Glavaš; Mladen Karan; Jan Šnajder; Bojana Dalbelo Bašić
    TakeLab: Systems for Measuring Semantic Text Similarity
  80. S12-1061: Sergio Jimenez; Claudia Becerra; Alexander Gelbukh
    Soft Cardinality: A Parameterized Similarity Function for Text Comparison
  81. S12-1062: Enrique Amigó; Jesus Gimenez; Julio Gonzalo; Felisa Verdejo
    UNED: Improving Text Similarity Measures without Human Assessments
  82. S12-1063: Travis Goodwin; Bryan Rink; Kirk Roberts; Sanda Harabagiu
    UTDHLT: COPACETIC System for Choosing Plausible Alternatives
  83. S12-1064: Katharina Wäschle; Sascha Fendrich
    HDU: Cross-lingual Textual Entailment with SMT Features
  84. S12-1065: Miquel Esplà-Gomis; Felipe Sánchez-Martìnez; Mikel L. Forcada
    UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment
  85. S12-1066: Sujay Kumar Jauhar; Lucia Specia
    UOW-SHEF: SimpLex – Lexical Simplicity Ranking based on Contextual and Psycholinguistic Features
  86. S12-1067: Marilisa Amoia; Massimo Romanelli
    SB: mmSystem - Using Decompositional Semantics for Lexical Simplification
  87. S12-1068: Anne-Laure Ligozat; Cyril Grouin; Anne Garcia-Fernandez; Delphine Bernhard
    ANNLOR: A Naïve Notation-system for Lexical Outputs Ranking
  88. S12-1069: Ravi Sinha
    UNT-SimpRank: Systems for Lexical Simplification Ranking
  89. S12-1070: Ted Pedersen
    Duluth : Measuring Degrees of Relational Similarity with the Gloss Vector Measure of Semantic Relatedness
  90. S12-1071: Mireya Tovar; J. Alejandro Reyes; Azucena Montes; Darnes Vilariño; David Pinto; Saul León
    BUAP: A First Approximation to Relational Similarity Measuring
  91. S12-1072: zhou qiaoli; zhang ling; liu fei; cai dongfeng; zhang guiping
    Zhou qiaoli: A divide-and-conquer strategy for semantic dependency parsing
  92. S12-1073: Hao Xiong; Qun Liu
    ICT:A System Combination for Chinese Semantic Dependency Parsing
  93. S12-1074: Guangchao Tang; Bin Li; Shuaishuai Xu; Xinyu Dai; Jiajun Chen
    NJU-Parser: Achievements on Semantic Dependency Parsing
  94. S12-1075: Jian Xu; Qin Lu; Zhengzhong Liu
    PolyUCOMP: Combining Semantic Vectors with Skip bigrams for Semantic Textual Similarity
  95. S12-1076: Michael Heilman; Nitin Madnani
    ETS: Discriminative Edit Models for Paraphrase Scoring
  96. S12-1077: Samir AbdelRahman; Catherine Blake
    Sbdlrhmn: A Rule-based Human Interpretation System for Semantic Textual Similarity Task
  97. S12-1078: Artem Sokolov
    LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets
  98. S12-1079: Demetrios Glinos
    ATA-Sem: Chunk-based Determination of Semantic Text Similarity
  99. S12-1080: Davide Buscaldi; Ronan Tournier; Nathalie Aussenac-Gilles; Josiane Mothe
    IRIT: Textual Similarity Combining Conceptual Similarity with an N-Gram Comparison Method
  100. S12-1081 [revisions: v2]: Diana McCarthy; Spandana Gella; Siva Reddy
    DSS: Text Similarity Using Lexical Alignments of Form, Distributional Semantics and Grammatical Relations
  101. S12-1082: NIkos Malandrakis; Elias Iosif; Alexandros Potamianos
    DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets
  102. S12-1083: Snehasis Neogi; Partha Pakray; Sivaji Bandyopadhyay; Alexander Gelbukh
    JU_CSE_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs
  103. S12-1084: Zhu Tiantian; Lan Man
    Tiantianzhu7:System Description of Semantic Textual Similarity (STS) in the SemEval-2012 (Task 6)
  104. S12-1085: Sumit Bhagwani; Shrutiranjan Satapathy; Harish Karnick
    sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching
  105. S12-1086: Weiwei Guo; Mona Diab
    Weiwei: A Simple Unsupervised Latent Semantics based Approach for Sentence Similarity
  106. S12-1087: Annalina Caputo; Pierpaolo Basile; Giovanni Semeraro
    UNIBA: Distributional Semantics for Textual Similarity
  107. S12-1088: Danilo Croce; Paolo Annesi; Valerio Storch; Roberto Basili
    UNITOR: Combining Semantic Text Similarity functions through SV Regression
  108. S12-1089: Georgiana Dinu; Stefan Thater
    Saarland: Vector-based models of semantic textual similarity
  109. S12-1090: Antonio Fernández; Yoan Gutièrrez; Hèctor Dávila; Alexander Chávez; Andy González; Rainel Estrada; Yenier Castañeda; Sonia Vázquez; Andrès Montoyo; Rafael Muñoz
    UMCC_DLSI: Multidimensional Lexical-Semantic Textual Similarity
  110. S12-1091: Eric Yeh; Eneko Agirre
    SRIUBC: Simple Similarity Features for Semantic Textual Similarity
  111. S12-1092: Josè Guilherme Camargo de Souza; Matteo Negri; Yashar Mehdad
    FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity
  112. S12-1093: Maya Carrillo; Darnes Vilariño; David Pinto; Mireya Tovar; Saul León; Esteban Castillo
    FCC: Three Approaches for Semantic Textual Similarity
  113. S12-1094: Carmen Banea; Samer Hassan; Michael Mohler; Rada Mihalcea
    UNT: A Supervised Synergistic Approach to Semantic Text Similarity
  114. S12-1095: Nitish Aggarwal; Kartik Asooja; Paul Buitelaar
    DERI&UPM: Pushing Corpus Based Relatedness to Similarity: Shared Task System Description
  115. S12-1096: Mengqiu Wang; Daniel Cer
    Stanford: Probabilistic Edit Distance Metrics for STS
  116. S12-1097: Sam Biggins; Shaabi Mohammed; Sam Oakley; Luke Stringer; Mark Stevenson; Judita Preiss
    University_Of_Sheffield: Two Approaches to Semantic Text Similarity
  117. S12-1098: Janardhan Singh; Arindam Bhattacharya; Pushpak Bhattacharyya
    janardhan: Semantic Textual Similarity using Universal Networking Language graph matching
  118. S12-1099: Julio Castillo; Paula Estrella
    SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment

2011

  1. Proceedings of the TextInfer 2011 Workshop on Textual Entailment

  2. W11-2401: Detmar Meurers; Ramon Ziai; Niels Ott; Janina Kopp
    Evaluating Answers to Reading Comprehension Questions in Context: Results for German and the Role of Information Structure
  3. W11-2402: Eyal Shnarch; Jacob Goldberger; Ido Dagan
    Towards a Probabilistic Model for Lexical Entailment
  4. W11-2403: Shachar Mirkin; Ido Dagan; Lili Kotlerman; Idan Szpektor
    Classification-based Contextual Preferences
  5. W11-2404: Milen Kouylekov; Yashar Mehdad; Matteo Negri
    Is it Worth Submitting this Run? Assess your RTE System with a Good Sparring Partner
  6. W11-2405: Hideki Shima; Teruko Mitamura
    Diversity-aware Evaluation for Paraphrase Patterns
  7. W11-2406: Christina Unger; Philipp Cimiano
    Representing and resolving ambiguities in ontology-based question answering
  8. W11-2407: Tim Fernando
    Strings over intervals
  9. W11-2408: Jonathan Gordon; Lenhart Schubert
    Discovering Commonsense Entailment Rules Implicit in Sentences
  10. Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics

  11. W11-2501: Marco Baroni; Alessandro Lenci
    How we BLESSed distributional semantic evaluation
  12. W11-2502: Alexander Panchenko
    Comparison of the Baseline Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction
  13. W11-2503: Elia Bruni; Giang Binh Tran; Marco Baroni
    Distributional semantics from text and images
  14. W11-2504: Tsz Ping Chan; Chris Callison-Burch; Benjamin Van Durme
    Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity
  15. W11-2505: Pierpaolo Basile; Annalina Caputo; Giovanni Semeraro
    Encoding syntactic dependencies by vector permutation
  16. W11-2506: Matthias Hartung; Anette Frank
    Assessing Interpretable, Attribute-related Meaning Representations for Adjective-Noun Phrases in a Similarity Prediction Task
  17. W11-2507: Edward Grefenstette; Mehrnoosh Sadrzadeh
    Experimenting with transitive verbs in a DisCoCat
  18. W11-2508: Kristina Gulordava; Marco Baroni
    A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus.
  19. Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)

  20. W11-0101: BBEHarry Bunt]
    The Semantics of Dialogue Acts
  21. W11-0102: BBEEduard Hovy]
    A New Semantics: Merging Propositional and Distributional Information
  22. W11-0103: BBEHiyan Alshawi]; BBEPi-Chuan Chang]; BBEMichael Ringgaard]
    Deterministic Statistical Mapping of Sentences to Underspecified Semantics
  23. W11-0104: BBECarmen Banea]; BBERada Mihalcea]
    Word Sense Disambiguation with Multilingual Features
  24. W11-0105: BBEChitta Baral]; BBEJuraj Dzifcak]; BBEMarcos Alvarez Gonzalez]; BBEJiayu Zhou]
    Using Inverse lambda and Generalization to Translate English to Formal Languages
  25. W11-0106: BBEEduardo Blanco]; BBEDan Moldovan]
    A Model for Composing Semantic Relations
  26. W11-0107: BBEJames Blythe]; BBEJerry Hobbs]; BBEPedro Domingos]; BBERohit Kate]; BBERaymond Mooney]
    Implementing Weighted Abduction in Markov Logic
  27. W11-0108: BBEGuillaume Bonfante]; BBEBruno Guillaume]; BBEMathieu Morey]; BBEGuy Perrier]
    Modular Graph Rewriting to Compute Semantics
  28. W11-0109: BBEOliver Bott]; BBEFabian Schlotterbeck]; BBEJakub Szymanik]
    Interpreting tractable versus intractable reciprocal sentences
  29. W11-0110: BBESusan Windisch Brown]; BBEDmitriy Dligach]; BBEMartha Palmer]
    VerbNet Class Assignment as a WSD Task
  30. W11-0111: BBEManaal Faruqui]; BBESebastian Pado]
    Acquiring entailment pairs across languages and domains: A Data Analysis
  31. W11-0112: BBEDan Garrette]; BBEKatrin Erk]; BBERaymond Mooney]
    Integrating Logical Representations with Probabilistic Information using Markov Logic
  32. W11-0113: BBEVoula Gotsoulia]
    An Abstract Schema for Representing Semantic Roles and Modelling the Syntax-Semantics Interface
  33. W11-0114: BBEEdward Grefenstette]; BBEMehrnoosh Sadrzadeh]; BBEStephen Clark]; BBEBob Coecke]; BBEStephen Pulman]
    Concrete Sentence Spaces for Compositional Distributional Models of Meaning
  34. W11-0115: BBEEmiliano Raul Guevara]
    Computing Semantic Compositionality in Distributional Semantics
  35. W11-0116: BBEAndrey Gusev]; BBENathanael Chambers]; BBEDivye Raj Khilnani]; BBEPranav Khaitan]; BBESteven Bethard]; BBEDan Jurafsky]
    Using Query Patterns to Learn the Duration of Events
  36. W11-0117: BBEYoshihiko Hayashi]
    A Representation Framework for Cross-lingual/Interlingual Lexical Semantic Correspondences
  37. W11-0118: BBEAurelie Herbelot]; BBEAnn Copestake]
    Formalising and specifying underquantification
  38. W11-0119: BBEBlake Stephen Howald]; BBEE. Graham Katz]
    The Exploitation of Spatial Information in Narrative Discourse
  39. W11-0120: BBEChee Wee Leong]; BBERada Mihalcea]
    Measuring the semantic relatedness between words and images
  40. W11-0121: BBENiloofar Montazeri]; BBEJerry Hobbs]
    Elaborating a Knowledge Base for Deep Lexical Semantics
  41. W11-0122: BBEElisabeth Niemann]; BBEIryna Gurevych]
    The People's Web meets Linguistic Knowledge: Automatic Sense Alignment of Wikipedia and WordNet
  42. W11-0123: BBEMegumi Ohki]; BBEEric Nichols]; BBESuguru Matsuyoshi]; BBEKoji Murakami]; BBEJunta Mizuno]; BBEShouko Masuda]; BBEKentaro Inui]; BBEYuji Matsumoto]
    Recognizing Confinement in Web Texts
  43. W11-0124: BBEEkaterina Ovchinnikova]; BBENiloofar Montazeri]; BBETheodore Alexandrov]; BBEJerry Hobbs]; BBEMichael C. McCord]; BBERutu Mulkar-Mehta]
    Abductive Reasoning with a Large Knowledge Base for Discourse Processing
  44. W11-0125: BBEVolha Petukhova]; BBEHarry Bunt]
    Incremental dialogue act understanding
  45. W11-0126: BBEHilke Reckman]; BBEJeff Orkin]; BBEDeb Roy]
    Extracting aspects of determiner meaning from dialogue in a virtual world environment
  46. W11-0127: BBELivio Robaldo]
    On the Maximalization of the witness sets in Independent Set readings
  47. W11-0128: BBEJason Utt]; BBESebastian Pado]
    Ontology-based Distinction between Polysemy and Homonymy
  48. W11-0129: BBENervo Verdezoto]; BBELaure Vieu]
    Towards semi-automatic methods for improving WordNet
  49. W11-0130: BBEJustin Washtell]
    Compositional Expectation: A Purely Distributional Model of Compositional Semantics
  50. W11-0131: BBEStephen Wu]; BBEWilliam Schuler]
    Structured Composition of Semantic Vectors
  51. W11-0132: BBETafseer Ahmed]; BBEMiriam Butt]
    Discovering Semantic Classes for Urdu N-V Complex Predicates
  52. W11-0133: BBELee Becker]; BBEWayne Ward]; BBESarel Van Vuuren]; BBEMartha Palmer]
    DISCUSS: A dialogue move taxonomy layered over semantic representations
  53. W11-0134: BBEArmelle Boussidan]; BBESabine Ploux]
    Using Topic Salience and Connotational Drifts to Detect Candidates to Semantic Change
  54. W11-0135: BBEElena Cabrio]; BBEBernardo Magnini]
    Towards Component-Based Textual Entailment
  55. W11-0136: BBEDaoud Clarke]; BBEDavid Weir]; BBERudi Lutz]
    Algebraic Approaches to Compositional Distributional Semantics
  56. W11-0137: BBERachel Cotterill]
    Question Classification for Email
  57. W11-0138: BBENormunds Gruzitis]; BBEGuntis Barzdins]
    Towards a More Natural Multilingual Controlled Language Interface to OWL
  58. W11-0139: BBEEzra Keshet]; BBETerrence Szymanski]; BBEStephen Tyndall]
    BALLGAME: A Corpus for Computational Semantics
  59. W11-0140: BBELeonardo Lesmo]; BBEAlessandro Mazzei]; BBEDaniele P. Radicioni]
    An Ontology Based Architecture for Translation
  60. W11-0141: BBERoser Morante]; BBESarah Schrauwen]; BBEWalter Daelemans]
    Corpus-based approaches to processing the scope of negation cues: an evaluation of the state of the art
  61. W11-0142: BBEJaouad Mousser]
    Classifying Arabic Verbs Using Sibling Classes
  62. W11-0143: BBERutu Mulkar-Mehta]; BBEJerry Hobbs]; BBEEduard Hovy]
    Granularity in Natural Language Discourse
  63. W11-0144: BBEMatthew Purver]; BBEArash Eshghi]; BBEJulian Hough]
    Incremental Semantic Construction in a Dialogue System
  64. W11-0145: BBEKevin Reschke]; BBEPranav Anand]
    Extracting Contextual Evaluativity
  65. W11-0146: BBELina Maria Rojas-Barahona]; BBEThierry Bazillon]; BBEMatthieu Quignard]; BBEFabrice Lefevre]
    Using MMIL for the High Level Semantic Annotation of the French MEDIA Dialogue Corpus
  66. W11-0147: BBEMasoud Rouhizadeh]; BBEMargit Bowler]; BBERichard Sproat]; BBEBob Coyne]
    Collecting Semantic Data from Mechanical Turk for a Lexical Knowledge Resource in a Text to Picture Generating System
  67. W11-0148: BBESteve Spagnola]; BBECarl Lagoze]
    Edge dependent pathway scoring for calculating semantic similarity in ConceptNet
  68. W11-0149: BBEPia-Ramona Wojtinnek]; BBEStephen Pulman]
    Semantic Relatedness from Automatically Generated Semantic Networks
  69. W11-0150: BBEDeyu Zhou]; BBEYulan He]
    Semantic Parsing for Biomedical Event Extraction

2010

  1. Proceedings of the Workshop on Negation and Speculation in Natural Language Processing

  2. W10-3101: Maria Liakata
    Zones of conceptualisation in scientific papers: a window to negative and speculative statements
  3. W10-3102: Hercules Dalianis; Maria Skeppstedt
    Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus
  4. W10-3103: Sumithra Velupillai
    Towards a better understanding of uncertainties and speculations in Swedish clinical text – Analysis of an initial annotation trial
  5. W10-3104: Ira Goldstein; Özlem Uzuner
    Does negation really matter?
  6. W10-3105: Veronika Vincze
    Speculation and negation annotation in natural language texts: what the case of BioScope might (not) reveal
  7. W10-3106: Julien Desclés; Olfa Makkaoui; Taouise Hacène
    Automatic annotation of speculation in biomedical texts: new perspectives and large-scale evaluation
  8. W10-3107: Aron Henriksson; Sumithra Velupillai
    Levels of certainty in knowledge-intensive corpora: an initial annotation study
  9. W10-3108: Martin Krallinger
    Importance of negations and experimental qualifiers in biomedical literature
  10. W10-3109: Ed Hovy
    Negation and modality in distributional semantics
  11. 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
  12. W10-3111: Michael Wiegand; Alexandra Balahur; Benjamin Roth; Dietrich Klakow; Andrés Montoyo
    A survey on the role of negation in sentiment analysis
  13. W10-3112: Raheel Nawaz; Paul Thompson; Sophia Ananiadou
    Evaluating a meta-knowledge annotation scheme for bio-events
  14. W10-3113: Farzaneh Sarafraz; Goran Nenadic
    Using SVMs with the Command Relation features to identify negated events in biomedical literature
  15. W10-3114: Bernardo Magnini; Elena Cabrio
    Contradiction-focused qualitative evaluation of textual entailment

2009

  1. Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)

  2. W09-2401: Diana McCarthy
    Invited Talk: Alternative Annotations of Word Usage
  3. W09-2402: Rebecca Passoneau; Ansaf Salleb-Aouissi; Nancy Ide
    Making Sense of Word Sense Variation
  4. W09-2403: Judita Preiss; Jon Dehdari; Josh King; Dennis Mehay
    Refining the most frequent sense baseline
  5. W09-2404: Marine Carpuat
    One Translation Per Discourse
  6. W09-2405: Hansen A. Schwartz; Fernando Gomez
    Using Web Selectors for the Disambiguation of All Words
  7. W09-2406: Vaclav Novak; Sven Hartrumpf; Keith Hall
    Large-scale Semantic Networks: Annotation and Evaluation
  8. W09-2407: Paul M. Heider; Rohini K. Srihari
    Making Semantic Topicality Robust Through Term Abstraction
  9. W09-2408: Oleksandr Kolomiyets; Marie-Francine Moens
    Meeting TempEval-2: Shallow Approach for Temporal Tagger
  10. W09-2409: Paul Nulty; Fintan Costello
    Using Lexical Patterns in the Google Web 1T Corpus to Deduce Semantic Relations Between Nouns
  11. W09-2410: Weiwei Guo; Mona Diab
    Improvements To Monolingual English Word Sense Disambiguation
  12. W09-2411: Marta Recasens; Toni Martí; Mariona Taulé; Lluís Màrquez; Emili Sapena
    SemEval-2010 Task 1: Coreference Resolution in Multiple Languages
  13. W09-2412: Ravi Sinha; Diana McCarthy; Rada Mihalcea
    SemEval-2010 Task 2: Cross-Lingual Lexical Substitution
  14. W09-2413: Els Lefever; Veronique Hoste
    SemEval-2010 Task 3: Cross-lingual Word Sense Disambiguation
  15. W09-2414: James Pustejovsky; Anna Rumshisky
    SemEval-2010 Task 7: Argument Selection and Coercion
  16. W09-2415: Iris Hendrickx; Su Nam Kim; Zornitsa Kozareva; Preslav Nakov; Diarmuid Ó Séaghdha; Sebastian Padó; Marco Pennacchiotti; Lorenza Romano; Stan Szpakowicz
    SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
  17. W09-2416: Cristina Butnariu; Su Nam Kim; Preslav Nakov; Diarmuid Ó Séaghdha; Stan Szpakowicz; Tony Veale
    SemEval-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions
  18. W09-2417: Josef Ruppenhofer; Caroline Sporleder; Roser Morante; Collin Baker; Martha Palmer
    SemEval-2010 Task 10: Linking Events and Their Participants in Discourse
  19. W09-2418: James Pustejovsky; Marc Verhagen
    SemEval-2010 Task 13: Evaluating Events, Time Expressions, and Temporal Relations (TempEval-2)
  20. W09-2419: Suresh Manandhar; Ioannis Klapaftis
    SemEval-2010 Task 14: Evaluation Setting for Word Sense Induction & Disambiguation Systems
  21. W09-2420: Eneko Agirre; Oier Lopez de Lacalle; Christiane Fellbaum; Andrea Marchetti; Antonio Toral; Piek Vossen
    SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain
  22. W09-2421: Cláudia Freitas; Diana Santos; Cristina Mota; Hugo Gonçalo Oliveira; Paula Carvalho
    Relation detection between named entities: report of a shared task
  23. W09-2422: Chong Min Lee; Graham Katz
    Error Analysis of the TempEval Temporal Relation Identification Task
  24. W09-2423: Adam Meyers; Michiko Kosaka; Nianwen Xue; Heng Ji; Ang Sun; Shasha Liao; Wei Xu
    Automatic Recognition of Logical Relations for English, Chinese and Japanese in the GLARF Framework
  25. Proceedings of the Eight International Conference on Computational Semantics

  26. W09-3701: Ido Dagan
    It’s time for a semantic inference engine
  27. W09-3702: Martha Palmer
    Knowing a word (sense) by its company
  28. W09-3703: Massimo Poesio
    Play your way to an annotated corpus: Games with a purpose and anaphoric annotation
  29. W09-3704: Luciana Benotti; David Traum
    A computational account of comparative implicatures for a spoken dialogue agent
  30. W09-3705: Johan Bos
    Computing Genitive Superlatives
  31. W09-3706: Harry Bunt
    Semantic annotations as complimentary to underspecified semantic representations
  32. W09-3707: Fabio Celli; Malvina Nissim
    Automatic identification of semantic relations in Italian complex nominals
  33. W09-3708: Wei Chen
    Understanding Mental States in Natural Language
  34. W09-3709: Isabelle Dautriche; Patrick Saint-Dizier
    A Formal Model for Procedural Texts and its Use in Textual Integration
  35. W09-3710: Georgiana Dinu; Rui Wang
    Inference Rules for Recognizing Textual Entailment
  36. W09-3711: Katrin Erk
    Supporting inferences in semantic space: representing words as regions
  37. W09-3712: Dan Garrette; Ewan Klein
    An Extensible Toolkit for Computational Semantics
  38. W09-3713: Eleni Gregoromichelaki; Yo Sato; Ruth Kempson; Andrew Gargett; Christine Howes
    Dialogue Modelling and the Remit of Core Grammar
  39. W09-3714: Bill MacCartney; Christopher D. Manning
    An extended model of natural logic
  40. W09-3715: Volha Petukhova; Harry Bunt
    Towards a Multidimensional Semantics of Discourse Markers in Spoken Dialogue
  41. W09-3716: James Pustejovsky; Jessica Moszkowicz; Olga Batiukova; Anna Rumshisky
    GLML: Annotating Argument Selection and Coercion
  42. W09-3717: Allan Ramsay; Debora Field
    Using English for commonsense knowledge
  43. W09-3718: Livio Robaldo; Jurij Di Carlo
    Disambiguating quantifier scope in DTS
  44. W09-3719: Jennifer Spenader; Anna Lobanova
    Reliable Discourse Markers for Contrast Relations
  45. W09-3720: Fabienne Martin; Dennis Spohr; Achim Stein
    Disambiguation of Polysemous Verbs for Rule-based Inferencing
  46. W09-3721: Peter Wittek; Sándor Darányi; Chew Lim Tan
    An Ordering of Terms Based on Semantic Relatedness
  47. W09-3722: Ana Zelaia; Olatz Arregi; Basilio Sierra
    A Multiclassifier based Approach for Word Sense Disambiguation using Singular Value Decomposition
  48. W09-3723: Bal Krishna Bal
    Towards an Analysis of Opinions in News Editorials: How positive was the year? (project abstract)
  49. W09-3724: Antonio Balvet; Pauline Haas; Richard Huyghe; Anne Jugnet; Rafael Marín
    The NOMAGE Project Annotating the semantic features of French nominalizations (project abstract)
  50. W09-3725: Harry Bunt; Chwhynny Overbeeke
    A methodological note on the definition of semantic annotation languages (short paper)
  51. W09-3726: Philipp Cimiano
    Flexible Semantic Composition with DUDES (short paper)
  52. W09-3727: Rodolfo Delmonte; Emanuele Pianta
    Computing Implicit Entities and Events with Getaruns (short paper)
  53. W09-3728: Marieke van Erp; Piroska Lendvai; Antal van den Bosch
    Comparing Alternative Data-Driven Ontological Vistas of Natural History (short paper)
  54. W09-3729: Jeroen Geertzen
    Semantic interpretation of Dutch spoken dialogue (short paper)
  55. W09-3730: Piroska Lendvai
    Towards Acquisition of Taxonomic Inference (short paper)
  56. W09-3731: Roussanka Loukanova
    Formalisation of Intensionality as Algorithms (project abstract)
  57. W09-3732: Carlos-D. Martínez-Hinarejos
    A Study of a Segmentation Technique for Dialogue Act Assignation (short paper)
  58. W09-3733: Wei Ni; Helena Hong Gao; Shixiao Ouyang
    Application of Cognitive Strategies to Chinese Noun Classifier E-learning (short paper)
  59. W09-3734: Sumiyo Nishiguchi
    Qualia Based Lexical Knowledge for the Disambiguation of the Japanese Postposition ‘No’ (short paper)
  60. W09-3735: Shixiao Ouyang; Helena Hong Gao; Soo Ngee Koh
    Developing a Computer-facilitated Tool for Acquiring Near-synonyms in Chinese and English (short paper)
  61. W09-3736: Christian Schulz; Jan Alexandersson; Tilman Becker
    Well-formed Default Unification in Non-deterministic Multiple Inheritance Hierarchies (short paper)
  62. W09-3737: Jaime Snyder; Michael A. D’Eredita; Ozgur Yilmazel; Elizabeth D. Liddy
    Towards a Cognitive Approach for the Automated Detection of Connotative Meaning
  63. W09-3738: Caroline Sporleder
    Semantic Argument Structure in DiscoursE: The SEASIDE project (project abstract)
  64. W09-3739: Mukda Suktarachan; Patrick Saint-Dizier
    An Application of Lexical Semantics Annotation to Question-Answering in e-Farming
  65. W09-3740: Sara Tonelli; Emanuele Pianta
    A novel approach to mapping FrameNet lexical units to WordNet synsets (short paper)
  66. W09-3741: Mihaela Vela; Thierry Declerck
    Concept and Relation Extraction in the Finance Domain
  67. W09-3742: Anita de Waard; Paul Buitelaar; Thomas Eigner
    Identifying the Epistemic Value of Discourse Segments in Biology Texts (project abstract)
  68. W09-3743: Sander Wubben; Antal van den Bosch
    A semantic relatedness metric based on free link structure (short paper)
  69. W09-3744: Paul Bedaride; Claire Gardent
    Semantic Normalisation : a Framework and an Experiment

2008

  1. Semantics in Text Processing. STEP 2008 Conference Proceedings

  2. W08-2201: BBEHarry Bunt]
    A New Life for Semantic Annotations?
  3. W08-2202: BBEPierpaolo Basile]; BBEMarco de Gemmis]; BBEPasquale Lops]; BBEGiovanni Semeraro]
    Combining Knowledge-based Methods and Supervised Learning for Effective Italian Word Sense Disambiguation
  4. W08-2203: BBEEmily M. Bender]; BBEDavid Goss-Grubbs]
    Semantic Representations of Syntactically Marked Discourse Status in Crosslinguistic Perspective
  5. W08-2204: BBEAntonio Branco]; BBEFrancisco Costa]
    High Precision Analysis of NPs with a Deep Processing Grammar
  6. W08-2205: BBEPeter Clark]; BBEChristiane Fellbaum]; BBEJerry R. Hobbs]; BBEPhil Harrison]; BBEWilliam R. Murray]; BBEJohn Thompson]
    Augmenting WordNet for Deep Understanding of Text
  7. W08-2206: BBEIrene Cramer]
    How Well Do Semantic Relatedness Measures Perform? A Meta-Study
  8. W08-2207: BBEMontse Cuadros]; BBEGerman Rigau]
    KnowNet: A Proposal for Building Highly Connected and Dense Knowledge Bases from the Web
  9. W08-2208: BBEDiego De Cao]; BBEDanilo Croce]; BBEMarco Pennacchiotti]; BBERoberto Basili]
    Combining Word Sense and Usage for Modeling Frame Semantics
  10. W08-2209: BBERodolfo Delmonte]; BBEEmanuele Pianta]
    Answering Why-Questions in Closed Domains from a Discourse Model
  11. W08-2210: BBELionel Fontan]; BBEPatrick Saint-Dizier]
    Analyzing the Explanation Structure of Procedural Texts: Dealing with Advice and Warnings
  12. W08-2211: BBERob Koeling]; BBEDiana McCarthy]
    From Predicting Predominant Senses to Local Context for Word Sense Disambiguation
  13. W08-2212: BBEMaria Liakata]; BBEStephen Pulman]
    Automatic Fine-Grained Semantic Classification for Domain Adaptation
  14. W08-2213: BBEEvguenia Malaia]; BBEJohn Borneman]; BBERonnie B. Wilbur]
    Analysis of ASL Motion Capture Data towards Identification of Verb Type
  15. W08-2214: BBEMarjorie McShane]; BBESergei Nirenburg]
    The Idiom-Reference Connection
  16. W08-2215: BBESergei Nirenburg]; BBEMarjorie McShane]; BBEStephen Beale]
    Resolving Paraphrases to Support Modeling Language Perception in an Intelligent Agent
  17. W08-2216: BBEAllan Ramsay]; BBEDebora Field]
    Everyday Language is Highly Intensional
  18. W08-2217: BBELivio Robaldo]; BBEEleni Miltsakaki]; BBEJerry R. Hobbs]
    Refining the Meaning of Sense Labels in PDTB: ``Concession''
  19. W08-2218: BBEManfred Stede]
    Connective-based Local Coherence Analysis: A Lexicon for Recognizing Causal Relationships
  20. W08-2219: BBEBenjamin Van Durme]; BBELenhart Schubert]
    Open Knowledge Extraction through Compositional Language Processing
  21. W08-2220: BBEJohan Bos]
    Introduction to the Shared Task on Comparing Semantic Representations
  22. W08-2221: BBEPeter Clark]; BBEPhil Harrison]
    Boeing's NLP System and the Challenges of Semantic Representation
  23. W08-2222: BBEJohan Bos]
    Wide-Coverage Semantic Analysis with Boxer
  24. W08-2223: BBERodolfo Delmonte]
    Semantic and Pragmatic Computing with GETARUNS
  25. W08-2224: BBEAntonio Branco]; BBEFrancisco Costa]
    LXGram in the Shared Task ``Comparing Semantic Representations'' of STEP 2008
  26. W08-2225: BBESergei Nirenburg]; BBEStephen Beale]; BBEMarjorie McShane]
    Baseline Evaluation of WSD and Semantic Dependency in OntoSem
  27. W08-2226: BBECharles B. Callaway]
    The TextCap Semantic Interpreter
  28. W08-2227: BBEJames F. Allen]; BBEMary Swift]; BBEWill de Beaumont]
    Deep Semantic Analysis of Text
  29. W08-2228: BBERodrigo Agerri]; BBEJohn Barnden]; BBEMark Lee]; BBEAlan Wallington]
    Textual Entailment as an Evaluation Framework for Metaphor Resolution: A Proposal
  30. W08-2229: BBEDelphine Battistelli]; BBEJavier Couto]; BBEJean-Luc Minel]; BBESylviane R. Schwer]
    Representing and Visualizing Calendar Expressions in Texts
  31. W08-2230: BBEJon Chamberlain]; BBEMassimo Poesio]; BBEUdo Kruschwitz]
    Addressing the Resource Bottleneck to Create Large-Scale Annotated Texts
  32. W08-2231: BBENils Reiter]; BBEMatthias Hartung]; BBEAnette Frank]
    A Resource-Poor Approach for Linking Ontology Classes to Wikipedia Articles
  33. W08-2232: BBEDoina Tatar]; BBEAndreea Diana Mihis]; BBEGabriela Serban]
    Top-Down Cohesion Segmentation in Summarization

2007

  1. Proceedings of the Fourth ACL-SIGSEM Workshop on Prepositions

  2. W07-1601: Christian Hying
    A Corpus-Based Analysis of Geometric Constraints on Projective Prepositions
  3. W07-1602: Aidan Furlan; Timothy Baldwin; Alex Klippel
    Landmark Classification for Route Directions
  4. W07-1603: Karën Fort; Bruno Guillaume
    PrepLex: A Lexicon of French Prepositions for Parsing
  5. W07-1604: Martin Chodorow; Joel Tetreault; Na-Rae Han
    Detection of Grammatical Errors Involving Prepositions
  6. W07-1605: Florian Dömges; Tibor Kiss; Antje Müller; Claudia Roch
    Measuring the Productivity of Determinerless PPs
  7. W07-1606: Tommaso Caselli; Valeria Quochi
    Inferring the Semantics of Temporal Prepositions in Italian
  8. W07-1607: Rachele De Felice; Stephen Pulman
    Automatically Acquiring Models of Preposition Use
  9. W07-1608: Samar Husain; Dipti Misra Sharma; Manohar Reddy
    Simple Preposition Correspondence: A Problem in English to Indian Language Machine Translation
  10. Proceedings of the Seventh International Workshop on Computational Semantics (IWCS-7)

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2006

  1. Proceedings of the Fifth International Workshop on Inference in Computational Semantics (ICoS-5)

  2. W06-3901: BBEAriel Cohen]
    Anaphora resolution and minimal models
  3. W06-3902: BBENikhil Dinesh]; BBEAravind Joshi]; BBEInsup Lee]; BBEBonnie Webber]
    Extracting formal specifications from natural language regulatory documents
  4. W06-3903: BBEDebora Field]; BBEAllan Ramsay]
    How to change a person's mind: Understanding the difference between the effects and consequences of speech acts
  5. W06-3904: BBEAlexander Koller]; BBEStefan Thater]
    Towards a redundancy elimination algorithm for underspecified descriptions
  6. W06-3905: BBELeonardo Lesmo]; BBELivio Robaldo]; BBEJelle Gerbrandy]
    Towards a redundancy elimination algorithm for underspecified descriptions
  7. W06-3906: BBESela Mador-Haim]; BBEYoad Winter]; BBEAnthony Braun]
    Controlled Language for Geographical Information System Queries
  8. W06-3907: BBERowan Nairn]; BBECleo Condoravdi]; BBELauri Karttunen]
    Computing relative polarity for textual inference
  9. W06-3908: BBEFarid Nouioua]; BBEPascal Nicolas]
    Using Answer Set Programming in an inference-based approach to Natural Language Semantics
  10. W06-3909: BBEMarco Pennacchiotti]; BBEPatrick Pantel]
    A Bootstrapping Algorithm for Automatically Harvesting Semantic Relations
  11. W06-3910: BBEHilke Reckman]; BBECrit Cremers]
    Concepts across categories
  12. W06-3911: BBESatoshi Tojo]
    Multi-dimensional Temporal Logic for Events and States
  13. W06-3912: BBEA.M. Wallington]; BBER. Agerri]; BBEJ.A. Barnden]; BBES.R. Glasbey]; BBEM.G. Lee]
    Considerations on the nature of metaphorical meaning arising from a computational treatment of metaphor interpretation
  14. W06-3913: BBEDavid Ahn]; BBESteven Schockaert]; BBEMartine De Cock]; BBEEtienne Kerre]
    Supporting temporal question answering: strategies for offline data collection
  15. W06-3914: BBEIgor Boyko]
    Formal semantics of verbs for knowledge inference
  16. W06-3915: BBEPhilipp Cimiano]
    Ingredients of a first-order account of bridging
  17. W06-3916: BBEAlbert Goldfain]
    A Computational Theory of Inference for Arithmetic Explanation
  18. W06-3917: BBEHermann Helbig]; BBEIngo Glöckner]
    Towards a Logical Foundation of Semantic Networks - A Typology of Descriptive Means for Semantic Inference
  19. W06-3918: BBEPaul Piwek]
    The Alligator theorem prover for dependent type systems: Description and proof samples

2005

  1. Proceedings of the Third ACL-SIGSEM Workshop on Prepositions

  2. W06-2101: BBEFintan J. Costello]; BBEJohn D. Kelleher]
    Spatial Prepositions in Context: The Semantics of near in the Presence of Distractor Objects
  3. W06-2102: BBEIwona Knaś]
    Polish Equivalents of Spatial at
  4. W06-2103: BBEBeata Trawiński]
    A Quantitative Approach to Preposition-Pronoun Contraction in Polish
  5. W06-2104: BBESander Lestrade]
    Marked Adpositions
  6. W06-2105: BBESven Hartrumpf]; BBEHermann Helbig]; BBERainer Osswald]
    Semantic Interpretation of Prepositions for NLP Applications
  7. W06-2106: BBEKenneth C. Litkowski]; BBEOrin Hargraves]
    Coverage and Inheritance in The Preposition Project
  8. W06-2107: BBETine Lassen]
    An Ontology-based View on Prepositional Senses
  9. W06-2108: BBEAsanee Kawtrakul]; BBEMukda Suktarachan]; BBEBali Ranaivo-Malancon]; BBEPek Kuan]; BBEAchla Raina]; BBESudeshna Sarkar]; BBEAlda Mari]; BBESina Zarriess]; BBEElixabete Murguia]; BBEPatrick Saint-Dizier]
    A Conceptual Analysis of the Notion of Instrumentality via a Multilingual Analysis
  10. W06-2109: BBEInes Rehbein]; BBEJosef van Genabith]
    German Particle Verbs and Pleonastic Prepositions
  11. W06-2110: BBESu Nam Kim]; BBETimothy Baldwin]
    Automatic Identification of English Verb Particle Constructions using Linguistic Features
  12. W06-2111: BBEFrank Van Eynde]
    On the Prepositions which Introduce an Adjunct of Duration
  13. W06-2112: BBEMartin Volk]
    How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish
  14. W06-2113: BBESudip Kumar Naskar]; BBESivaji Bandyopadhyayn]
    Handling of Prepositions in English to Bengali Machine Translation
  15. Proceedings of the Sixth International Workshop on Computational Semantics (IWCS-6)

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2003

  1. Proceedings of the Fifth International Workshop on Computational Semantics (IWCS-5)

    To Meeting Home Page

  2. Proceedings of the Workshop on Inference in Computational Semantics (ICoS-4)

    To Meeting Home Page

2001

  1. Proceedings of the Fourth International Workshop on Computational Semantics (IWCS-4)

  2. Proceedings of the Third International Workshop on Inference in Computational Semantics (ICoS-3)

    To Meeting Home Page

2000

  1. Proceedings of the Second International Workshop on Inference in Computational Semantics (ICoS-2)

    To Meeting Home Page

1999

  1. Proceedings of the Third International Workshop on Computational Semantics (IWCS-3)

  2. Proceedings of the First International Workshop on Inference in Computational Semantics (ICoS-1)

    To Meeting Home Page

1997

  1. Proceedings of the Second International Workshop on Computational Semantics (IWCS-2)

1994

  1. Proceedings of the First International Workshop on Computational Semantics (IWCS-1)