📰 CoNLL 2002: all accepted papers

35 papers · the most cited first · ← CoNLL 2002

1. A Comparison of Algorithms for Maximum Entropy Parameter EstimationRobert Maloufour summary
2. A Very Very Large Corpus Doesn't Always Yield Reliable Estimates ↗James R. Curran, Miles Osborne
3. Backward Machine Transliteration by Learning Phonetic Similarity ↗Wei-Hao Lin, Hsin-Hsi Chen
4. Boosting for Named Entity Recognition ↗Dekai Wu, Grace Ngai, Marine Carpuat et al.
5. Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day ↗Silviu Cucerzan, David Yarowsky
6. Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition ↗Cyril Goutte, Hervé Déjean, Eric Gaussier et al.
7. Cross-dataset Clustering: Revealing Corresponding Themes across Multiple Corpora ↗Ido Dagan, Zvika Marx, Eli Shamir
8. Distinguishing Easy and Hard Instances ↗Yuval Krymolowski
9. Entity Extraction without Language-Specific Resources ↗Paul McNamee, James Mayfield
10. Extracting the Unextractable: A Case Study on Verb-particles ↗Timothy Baldwin, Aline Villavicencio
11. Feature Selection for a Rich HPSG Grammar Using Decision Trees ↗Kristina Toutanova, Christopher D. Manning
12. Features for Unsupervised Document Classification ↗S. H. Srinivasan
13. GraSp: Grammar Learning from Unlabelled Speech Corpora ↗Peter Juel Henrichsen
14. Inducing Translation Lexicons via Diverse Similarity Measures and Bridge Languages ↗Charles Schafer, David Yarowsky
15. Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity RecognitionErik F. Tjong Kim Sangour summary
16. Japanese Dependency Analysis using Cascaded Chunking ↗Taku Kudo, Yuji Matsumoto
17. Language Independent NER using a Unified Model of Internal and Contextual Evidence ↗Silviu Cucerzan, David Yarowsky
18. Language Independent Named Entity Classification by modified Transformation-based Learning and by Decision Tree Induction ↗William J. Black, Argyrios Vasilakopoulos
19. Learning Attribute Values in Typed-unification Grammars: On Generalised Rule Reduction ↗Liviu Ciortuz
20. Learning to Disambiguate Potentially Subjective Expressions ↗Janyce Wiebe, Theresa Wilson
21. Learning to Distinguish PP Arguments from Adjuncts ↗Aline Villavicencio
22. Learning with Multiple Stacking for Named Entity Recognition ↗Koji Tsukamoto, Yutaka Mitsuishi, Manabu Sassano
23. Letter Level Learning for Language Independent Diacritics Restoration ↗Rada Mihalcea, Vivi Nastase
24. Markov Models for Language-independent Named Entity Recognition ↗Robert Malouf
25. Memory-Based Named Entity Recognition ↗Erik F. Tjong Kim Sang
26. Named Entity Extraction using AdaBoost ↗Xavier Carreras, Lluís Màrquez, Lluís Padró
27. Named Entity Extraction with Conditional Markov Models and Classifiers ↗Martin Jansche
28. Named Entity Learning and Verification: Expectation Maximization in Large Corpora ↗Uwe Quasthoff, Christian Biemann, Christian Wolff
29. Named Entity Recognition as a House of Cards: Classifier Stacking ↗Radu Florian
30. On the Robustness of Entropy-Based Similarity Measures in Evaluation of Subcategorization Acquisition Systems ↗Anna Korhonen, Yuval Krymolowski
31. SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier ↗Jon Patrick, Casey Whitelaw, Robert Munro
32. Statistical Named Entity Recognizer Adaptation ↗John D. Burger, John C. Henderson, William T. Morgan
33. Topological Field Chunking for German ↗Jorn Veenstra, Frank Henrik Müller, Tylman Ule
34. Two-dimensional Clustering for Text Categorization ↗Hiroya Takamura, Yuji Matsumoto
35. Use of Support Vector Machines in Extended Named Entity Recognition ↗Koichi Takeuchi, Nigel Collier

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