Decomposable modeling in natural language processing

Computational Linguistics

Volumn 25, Issue 2, 1999, Pages 195-207

  Bruce, Rebecca F ^a   Wiebe, Janyce M ^b  

^a UNIVERSITY OF NORTH CAROLINA AT ASHEVILLE   (United States)

^b New Mexico State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; MODELING LANGUAGES; STATISTICS;

CLASSIFICATION PERFORMANCE; CLASSIFIER PERFORMANCE; DECOMPOSABLE MODELS; INFERENCE TECHNIQUES; LARGE SCALE EXPERIMENTS; NATURAL LANGUAGE PROCESSING; PARAMETER ESTIMATE; PROBABILISTIC CLASSIFIERS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 0039028986     PISSN: 08912017     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. Akaike, Hirotugu. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19(6):716-723.
2. Atkins, Sue. 1993. Tools for computer-aided lexicography: The Hector project. In Papers in Computational Lexicography: COMPLEX '93, Budapest.
3. Badsberg, Jens Henik. 1995. An Environment for Graphical Models. Ph.D. thesis, Aalborg University.
4. Berger, Adam, Stephen Della Pietra, and Vincent Della Pietra. 1996. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39-71.
5. Bishop, Yvonne, Stephen Fienberg, and Paul Holland. 1975. Discrete Multivariate Analysis: Theory and Practice. MIT Press, Cambridge, MA.
6. Boutilier, Craig, Nir Friedman, Moises Goldszmidt, and Daphne Koller. 1996. Context-specific independence in Bayesian networks. In Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI-96), Portland, OR.
7. Breiman, Leo, Jerome Friedman, Richard Olshen, and Charles Stone. 1984. Classification and Regression Trees. Wadsworth & Brooks/Cole Advanced Books &Software, Monterey, CA.
8. Bruce, Rebecca and Janyce Wiebe. 1994. Word-sense disambiguation using decomposable models. In Proceedings of the 32nd Annual Meeting, pages 139-146. Association for Computational Linguistics.
9. Bruce, Rebecca, Janyce Wiebe, and Ted Pedersen. 1996. The measure of a model. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-96), pages 101-112, Philadelphia, PA, May. Association for Computational Linguistics SIGDAT.
10. Buntine, Wray. 1996. A guide to the literature on learning probabilistic networks from data. IEEE Transactions on Knowledge and Data Engineering, 8(3).
11. Buntine, Wray and H. Scott Roy. 1995. Software for data analysis with graphical models: Basic tools. In Fifth International Artificial Intelligence and Statistics Workshop, Ft. Lauderdale, FL.
12. Cohen, Paul. 1995. Empirical Methods for Artificial Intelligence. MIT Press, Cambridge, MA.
13. Darroch, John, Steffen Lauritzen, and Terry Speed. 1980. Markov fields and log-linear interaction models for contingency tables. Annals of Statistics, 8(3):522-539.
14. Friedman, Nir, Dan Geiger, and Moises Goldszmidt. 1997. Bayesian network classifiers. Machine Learning, 29:131-163.
15. Hanks, Patrick. 1996. Contextual dependency and lexical sets. International Journal of Corpus Linguistics, 1(1):75-98.
16. Kayaalp, Mehmet, Ted Pedersen, and Rebecca Bruce. 1997. Statistical decision making method: A case study on prepositional phrase attachment. In Proceedings of Computational Natural Language Learning (CoNLL-97), Madrid, Spain.
17. Kilgarriff, Adam. 1998. SENSEVAL: An exercise in evaluating word sense disambiguation programs. In Proceedings of the First International Conference on Language Resources and Evaluation, pages 581-588, Granada, Spain, May.
18. Langley, Pat, Wayne Iba, and Kevin Thompson. 1992. An analysis of bayesian classifiers. In Proceedings of the 10th National Conference on Artificial Intelligence (AAAI-92), pages 223-228.
19. Lauritzen, Steffen and David Spiegelhalter. 1988. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society B, 50(2):157-224.
20. Leacock, Claudia, Geoffrey Towell, and Ellen Voorhees. 1993. Corpus-based statistical sense resolution. In Proceedings of the ARPA Workshop on Human Language Technology, Princeton, NJ.
21. Mood, Alexander, Franklin Graybill, and Duane Boes. 1974. Introduction to the Theory of Statistics. McGraw-Hill, New York, NY.
22. Mooney, Ray. 1996. Comparative experiments on disambiguating word senses: An illustration of the role of bias in machine learning. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 82-91.
23. Pearl, Judea. 1988. Probabilistic Reasoning In Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo, CA.
24. Pedersen, Ted and Rebecca Bruce. 1997. A new supervised learning algorithm for word sense disambiguation. In Proceedings of the 14th National Conference on Artificial Intelligence (AAAI-97), Providence, RI.
25. Pedersen, Ted, Rebecca Bruce, and Janyce Wiebe. 1997. Sequential model selection for word sense disambiguation. In Proceedings of the Fifth Conference on Applied Natural Language Processing (ANLP-97), Washington, DC.
26. Ratnaparkhi, Adwait. 1997. A linear observed time statistical parser based on maximum entropy. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, Providence, RI.
27. Read, Timothy and Noel Cressie. 1988. Goodness-of-fit Statistics for Discrete Multivariate Data. Springer-Verlag Inc., New York, NY.
28. Schwarz, Gideon. 1978. Estimating the dimension of a model. The Annals of Statistics, 6(2):461-464.
29. Whittaker, Joe. 1990. Graphical Models In Applied Multivariate Statistics. John Wiley &Sons, New York, NY.
30. Wiebe, Janyce, Rebecca Bruce, and Lei Duan. 1997. Probabilistic event categorization. In Proceedings of the Second International Conference on Recent Advances in NLP (RANLP-97), Tzigov Chark, Bulgaria.