A nearest-neighbor method for resolving PP-attachment ambiguity

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

Volumn 3248, Issue , 2005, Pages 545-554

  Zhao, Shaojun ^a   Lin, Dekang ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; KNOWLEDGE ENGINEERING; NATURAL LANGUAGE PROCESSING SYSTEMS; VECTORS;

AMBIGUITIES; CORPUS-BASED METHODS; INFORMATION VECTOR;

ALGORITHMS;

EID: 26444497464     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30211-7_58     Document Type: Conference Paper

References (25)

1. Abney, S. and Schapire, R.E. and Singer, Y. 1999. Boosting Applied to Tagging and PP-attachment. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP-VLC, pages 38-45, College Park, MD.
2. Altmann, G. and Steedman, M. 1988. Interaction with Context During Human Sentence Processing. Cognition, 30:191-238.
3. Brill, E. 1995. Transformation-based Error-driven Learning and Natural Language Processing: A case study in part of speech tagging. Computational Linguistics, December.
4. Brill, E. and Resnik. P. 1994. A Rule-Based Approach to Prepositional Phrase Attachment Disambiguation. In Proceedings of COLING-94. pp. 1198-1204. Kyoto, Japan
5. Collins, M. and Brooks, J. 1995. Prepositional Phrase Attachment through a Backed-off Model. In Proceedings of the Third Workshop on Very Large Corpora, pp. 27-38. Cambridge, Massachusetts.
6. Grefenstette, G. 1994. Explorations in Automatic Thesaurus Discovery, Kluwer Academic Publishers, Boston.
7. Harris, Z.S.1968. Mathematical Structures of Language. New York: Wiley.
8. Hays, D. 1964. Dependency Theory: a Formalism and Some Observations. Language, 40:511-525.
9. Hindle, D. 1990. Noun Classification from Predicate-Argument Structures. In Proceedings of ACL-90. pp. 268-275. Pittsburgh, Pennsylvania.
10. Hindle, D. and Rooth, M. 1993. Structural Ambiguity and Lexical Relations. Computational Linguistics, 19(1):103-120.
11. Hudson, R. 1984. Word Grammar. Basil Blackwell Publishers Limited. Oxford, England.
12. Li, H. 2002. Word Clustering and Disambiguation based on Co-occurrence Data. Natural Language Engineering, 8(1), 25-42.
13. Lin, D. 1998. Automatic Retrieval and Clustering of Similar Words. In Proceedings of COLING-ACL98. Montreal, Canada.
14. Lin, D. 1994. Principar - an Efficient, Broad-Coverage, Principle-Based Parser. In Proceedings of COLING-94. Kyoto, Japan.
15. Lin, D. 2003. Dependency-based evaluation of MINIPAR. In Building and using syntactically annotated corpora, Anne Abeille (editor), pp. 317-330. KLUWER, Dordrecht.
16. Lin, J. 1991. Divergence measures based on the Shannon entropy. IEEE Transactions on Information Theory, 37(1):145-151.
17. Mel'čuk, I. A. 1987. Dependency Syntax: theory and practice. State University of New York Press. Albany, NY.
18. Miller, G. 1990. WordNet: an On-Line Lexical Database. International Journal of Lexicography, 1990.
19. Pereira, F., Tishby, N., and Lee, L. 1993. Distributional Clustering of English Words. In Proceedings of ACL-93. pp. 183-190. Columbus, Ohio.
20. Rao, C.R. 1982. Diversity: Its measurement, decomposition, apportionment and analysis. Sankyha: The Indian Journal of Statistics, 44(A):1-22.
21. Ratnaparkhi, A., Reynar, J., and Roukos, S. 1994. A Maximum Entropy Model for Prepositional Phrase Attachment. In Proceedings of the ARPA Human Language Technology Workshop, pp. 250-255. Plainsboro, N.J.
22. Stetina, J. and Nagao, M. 1997. Corpus Based PP Attachment Ambiguity Resolution with a Semantic Dictionary. In Proceedings of the Fifth Workshop on Very Large Corpora, pp. 66-80. Beijing and Hong Kong.
23. Terra, E. L. and Clarke, C. 2003. Frequency Estimates for Statistical Word Similarity Measures. In the Proceedings of the 2003 Human Language Technology Conference, pp.244-251. Edmonton, Canada, May.
24. Turney, P.D. (2001), Mining the Web for synonyms: PMI-IR versus LSA on TOEFL, Proceedings of the Twelfth European Conference on Machine Learning (ECML-2001), Freiburg, Germany, pp. 491-502.
25. Zavrel, J. and Daelemans, W and Veenstra, J. 1997. Resolving PP attachment Ambiguities with Memory-Based Learning. In Proceedings of the Conference on Computational Natural Language Learning, CoNLL97, pages 136-144, Madrid, Spain.