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2006 Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)

2006

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

  2. W06-29 [bib]: Entire Volume
  3. W06-2900 [bib]: Front Matter

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