A Statistical Model for Parsing and Word-Sense Disambiguation

Proceedings of the 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, SIGDAT-EMNLP 2000 - Held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics, ACL 2000

Volumn , Issue , 2000, Pages 155-163

  Bikel, Daniel M ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SYNTACTICS;

DATA SET; GOLD STANDARDS; STATISTIC MODELING; SYNSETS; SYNTACTIC PARSING; TEST CORPUS; WORD SENSE DISAMBIGUATION;

STATISTICAL TESTS;

EID: 85123773820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Daniel M. Bikel, Richard Schwartz, Ralph Weischedel, and Scott Miller. 1997. Nymble: A high-performance learning name-finder. In Fifth Conference on Applied Natural Language Processing, pages 194-201, Washington, D.C.
2. E. Brill and P. Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In Fifteenth International Conference on Computational Linguistics (COLING-1994).
3. Eric Brill. 1995. Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Computational Linguistics, 21(4):543-565.
4. Eugene Charniak. 1997. Statistical parsing with a context-free grammar and word statistics. In Proceedings of the Fourteenth National Conference on Artificial Intelligence, Menlo Park. AAAI Press/MIT Press.
5. Kenneth Church. 1988. A stochastic parts program and noun phrase parser for unrestricted text. In Second Conference on Applied Natural Language Processing, pages 136-143, Austin, Texas.
6. M. Collins and J. Brooks. 1995. Prepositional phrase attachment through a backed-off model. In Third Workshop on Very Large Corpora, pages 27-38.
7. Michael Collins. 1997. Three generative, lexi-calised models for statistical parsing. In Proceedings of ACL-EACL '97, pages 16-23.
8. Michael John Collins. 1999. Head-Driven Statistical Models for Natural Language Parsing. Ph.D. thesis, University of Pennsylvania.
9. Christiane Fellbaum, Jaochim Grabowski, and Shan Landes. 1998. Performance and confidence in a semantic annotation task. In Christiane Fellbaum, editor, WordNet: An Electronic Lexical Database, chapter 9. MIT Press, Cambridge, Massachusetts.
10. W. N. Francis and H. Kučera. 1979. Manual of Information to accompany A Standard Corpus of Present-Day Edited American English, for use with Digital Computers. Department of Linguistics, Brown University, Providence, Rhode Island.
11. Aravind K. Joshi and Yves Schabes. 1997. Tree-adjoining grammars. In A. Salomma and G. Rosenberg, editors, Handbook of Formal Languages and Automata, volume 3, pages 69-124. Springer-Verlag, Heidelberg.
12. Dekang Lin. 1997. Using syntactic dependency as local context to resolve word sense ambiguity. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, Madrid, Spain.
13. D. Magerman. 1995. Statistical decision tree models for parsing. In 33rd Annual Meeting of the Association for Computational Linguistics, pages 276-283, Cambridge, Massachusetts. Morgan Kaufmann Publishers.
14. Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19:313-330.
15. George A. Miller, Richard T. Beckwith, Christiane D. Fellbaum, Derek Gross, and Katherine J. Miller. 1990. WordNet: An on-line lexical database. International Journal of Lexicography, 3(4):235-244.
16. George A. Miller, Martin Chodorow, Shari Landes, Claudia Leacock, and Robert G. Thomas. 1994. Using a semantic concordance for sense identification. In Proceedings of the ARPA Human Language Technology Workshop.
17. Scott Miller, Heidi Fox, Lance Ramshaw, and Ralph Weischedel. 1998. SIFT - Statistically-derived Information From Text. In Seventh Message Understanding Conference (MUC-7), Washington, D.C.
18. Adwait Ratnaparkhi. 1997. A linear observed time statistical parser based on maximum entropy models. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, Brown University, Providence, Rhode Island.
19. Jiri Stetina and Makoto Nagao. 1997. Corpus based PP attachment ambiguity resolution with a semantic dictionary. In Fifth Workshop on Very Large Corpora, pages 66-80, Beijing.
20. Jiri Stetina, Sadao Kurohashi, and Makoto Nagao. 1998. General word sense disambiguation method based on a full sentential context. In COLING-ACL '98 Workshop: Usage of Word-Net in Natural Language Processing Systems, Montréal, Canada, August.
21. R. Weischedel, M. Meteer, R. Schwartz, L. Ramshaw, and J. Palmucci. 1993. Coping with ambiguity and unknown words through probabilistic methods. Computational Linguistics, 19(2):359-382.
22. David Yarowsky. 1992. Word-sense disambiguation using statistical models of roget's categories trained on large corpora. In Fourteenth International Conference on Computational Linguistics (COLING), pages 454-460.
23. David Yarowsky. 1994. Decision lists for lexical ambiguity resolution: Application to accent restoration in Spanish and French. In Proceedings of the 32nd Annual Meeting of the Assocation for Computational Linguistics, pages 88-95.
24. David Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, pages 189-196.