Disambiguating coordinations using word distribution information

International Conference Recent Advances in Natural Language Processing, RANLP

Volumn 2005-January, Issue , 2005, Pages 144-151

  Chantree, Francis ^a   Kilgarriff, Adam ^b   De Roeck, Anne ^a   Willis, Alistair ^a  

^a OPEN UNIVERSITY   (United Kingdom)

^b LEXICAL COMPUTING LTD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION USE;

DISTRIBUTIONAL SIMILARITIES; HUMAN PERCEPTION; MOST LIKELY; PREDICTIVE POWER; RELATIVE FREQUENCIES;

COMPUTATIONAL LINGUISTICS;

EID: 84962639092     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. (Agarwal & Boggess 92) Rajeev Agarwal and Lois Boggess. A simple but useful approach to conjunct identification. In Proceedings of the 30th conference on Association for Computational Linguistics, pages 15-21. Association for Computational Linguistics, 1992.
2. (Berry et al. 03) Daniel M. Berry, Erik Kamsties, and Michael M. Krieger. From contract drafting to software specification: Linguistic sources of ambiguity, 2003. A Handbook.
3. (Gause & Weinberg 89) Donald C. Gause and Gerald M. Weinberg. Exploring requirements: quality before design. Dorset House, New York, 1989.
4. (Goldberg 99) Miriam Goldberg. An unsupervised model for statistically determining coordinate phrase attachment. In Proceedings of the 37th conference on Association for Computational Linguistics, pages 610-614. Association for Computational Linguistics, 1999.
5. (Grefenstette 94) Gregory Grefenstette. Explorations in Automatic Thesaurus Discovery. Kluwer Academic Publishers, 1994.
6. (Kilgarriff 03) Adam Kilgarriff. Thesauruses for natural language processing. In Proceedings of NLP-KE, pages 5-13, Beijing, China, 2003.
7. (Kilgarriff et al. 04) Adam Kilgarriff, Pavel Rychly, Pavel Smrz, and David Tugwell. The sketch engine. In Proceedings of EURALEX 2004, pages 105-116, 2004.
8. (Lauer 95) Mark Lauer. Corpus statistics meet the noun compound: some empirical results. In Proceedings of the 33rd conference on Association for Computational Linguistics, pages 47-54, Morristown, NJ, USA, 1995. Association for Computational Linguistics.
9. (Lin 98) Dekang Lin. Automatic retrieval and clustering of similar words. In Proceedings of the 17th international conference on Computational linguistics, pages 768-774. Association for Computational Linguistics, 1998.
10. (McLauchlan 04) Mark McLauchlan. Thesauruses for prepositional phrase attachment. In Proceedings of CONLL-2004, pages 73- 80. Boston, MA, USA, 2004.
11. (Okumura & Muraki 94) Akitoshi Okumura and Kazunori Muraki. Symmetric pattern matching analysis for english coordinate structures. In Proceedings of the 4th Conference on Applied Natural Language Processing, pages 41-46. Association for Computational Linguistics, 1994.
12. (Ratnaparkhi 98) Adwait Ratnaparkhi. Unsupervised statistical models for prepositional phrase attachment. In Proceedings of the 17th International Conference on Computational Linguistics, pages 1079-1085, 1998.
13. (Resnik 99) Philip Resnik. Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research, 11:95-130, 1999.
14. (Sparck-Jones 86) Karen Sparck-Jones. Synonymy and semantic classification. Edinburgh University Press, 1986.
15. (vanRijsbergen 79) C. J. van Rijsbergen. Information Retrieval. Butterworths, London, U.K., 1979.
16. (Weiss & Kulikowski 91) Sholom M. Weiss and Casimir A. Kulikowski. Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1991.