Learning and parsing stochastic unification-based grammars

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2777, Issue , 2003, Pages 671-683

  Johnson, Mark ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FORMAL LANGUAGES; GRAPHIC METHODS; KNOWLEDGE ACQUISITION; LINGUISTICS; PERSONNEL TRAINING; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; SEMANTICS; STATISTICAL METHODS; CONTEXT FREE GRAMMARS; STOCHASTIC SYSTEMS;

HEAD-DRIVEN PHRASE-STRUCTURE GRAMMAR (HPSG); LEXICAL FUNCTIONAL GRAMMAR (LFG); STATISTICAL MODELS; UNIFICATION BASED GRAMMARS (UBG); GRAPHICAL MODEL; MACHINE TRANSLATIONS; MULTICLASS CLASSIFICATION PROBLEMS; NATURAL LANGUAGE PROCESSING; RESEARCH FOCUS; RICH STRUCTURE; UNIFICATION-BASED GRAMMARS;

LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 9444231648     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45167-9_49     Document Type: Conference Paper

References (22)

1. Stefan Riezler, Tracy H. King, R.C., Zaenen, A.: Statistical sentence condensation using ambiguity packing and stochastic disambiguation methods for lexical-functional grammar. In: Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, The Association for Computational Linguistics (2003) 197-204
2. Charniak, E.: A maximum-entropy-inspired parser. In: The Proceedings of the North American Chapter of the Association for Computational Linguistics. (2000) 132-139
3. Collins, M.: Three generative, lexicalised models for statistical parsing. In: The Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, San Francisco, Morgan Kaufmann (1997)
4. Pollard, C., Sag, I.A.: Information-based Syntax and Semantics. Number 13 in CSLI Lecture Notes Series. Chicago University Press, Chicago (1987)
5. Pollard, C., Sag, I.: Head-driven Phrase Structure Grammar. The University of Chicago Press, Chicago (1994)
6. Bresnan, J.: Control and complementation. In Bresnan, J., ed.: The Mental Representation of Grammatical Relations. The MIT Press, Cambridge, Massachusetts (1982) 282-390
7. Bresnan, J.: Lexical-Functional Syntax. Blackwell, Malden, MA (2001)
8. Butt, M., King, T.H., no, M.E.N., Segon, F.: A Grammar Writer's Cookbook. CSLI Publications, Stanford, CA (1999)
9. Maxwell III, J.T., Kaplan, R.M.: The interface between phrasal and functional constraints. In Dalrymple, M., Kaplan, R.M., Maxwell III, J.T., Zaenen, A., eds.: Formal Issues in Lexical-Functional Grammar. Number 47 in CSLI Lecture Notes Series. CSLI Publications (1995) 403-430
10. Maxwell III, J.T., Kaplan, R.M.: A method for disjunctive constraint satisfaction. In Dalrymple, M., Kaplan, R.M., Maxwell III, J.T., Zaenen, A., eds.: Formal Issues in Lexical-Functional Grammar. Number 47 in CSLI Lecture Notes Series. CSLI Publications (1995) 381-401
11. Geman, S., Johnson, M.: Dynamic programming for parsing and estimation of stochastic unification-based grammars. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Morgan Kaufmann (2002) 279-286
12. Abney, S.: Stochastic Attribute-Value Grammars. Computational Linguistics 23 (1997) 597-617
13. Johnson, M., Geman, S., Canon, S., Chi, Z., Riezler, S.: Estimators for stochastic "unification-based" grammars. In: The Proceedings of the 37th Annual Conference of the Association for Computational Linguistics, San Francisco, Morgan Kaufmann (1999) 535-541
14. Riezler, S., King, T.H., Kaplan, R.M., Crouch, R., Maxwell, J.T.I., Johnson, M.: Parsing the wall street journal using a lexical-functional grammar and discriminative estimation techniques. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Morgan Kaufmann (2002) 271-278
15. Forbus, K.D., de Kleer, J.: Building problem solvers. The MIT Press, Cambridge, Massachusetts (1993)
16. Lafferty, J., McCallum, A., Pereira, F.: Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data. In: Machine Learning: Proceedings of the Eighteenth International Conference (ICML 2001), Stanford, California (2001)
17. Miyao, Y., Tsujii, J.: Maximum entropy estimation for feature forests. In: Proceedings of Human Language Technology Conference 2002. (2002)
18. Miyao, Y., Tsujii, J.: A model of syntactic disambiguation based on lexicalized grammars. In: Proceedings of the Seventh Conference on Natural Language Learning. (2003) 1-8
19. Smyth, P., Heckerman, D., Jordan, M.: Probabilistic Independence Networks for Hidden Markov Models. Neural Computation 9 (1997) 227-269
20. Pearl, J.: Probabalistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo, California (1988)
21. Cowell, R.: Introduction to inference for Bayesian networks. In Jordan, M., ed.: Learning in Graphical Models. The MIT Press, Cambridge, Massachusetts (1999) 9-26
22. Geman, S., Kochanek, K.: Dynamic programming and the representation of soft-decodable codes. Technical report, Division of Applied Mathematics, Brown University (2000)