📰 CoNLL 2006: all accepted papers

38 papers · the most cited first · ← CoNLL 2006

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

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