Unsupervised and supervised exploitation of semantic domains in lexical disambiguation

Computer Speech and Language

Volumn 18, Issue 3 SPEC. ISS., 2004, Pages 275-299

  Gliozzo, Alfio ^a   Strapparava, Carlo ^a   Dagan, Ido ^b  

^a ITC IRST   (Italy)

^b BAR ILAN UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

FINANCE; GLOSSARIES; INFORMATION RETRIEVAL; LAWS AND LEGISLATION; SEMANTICS; TEXT PROCESSING;

ANNOTATION; LANGUAGE TERMINOLOGY; LEXICAL DIAMBIGUATION; WORD SENSE DIAMBIGUATION (WSD);

WORD PROCESSING;

EID: 3142674451     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csl.2004.05.006     Document Type: Article

References (29)

1. BNC-Consortium, 2000. British national corpus. URL http://www.hcu.ox.ac. uk/BNC/.
2. Comaroni J.P., Beall J., Matthews W.E., New G.R. Dewey Decimal Classification and Relative Index. 20th ed. 1989;Forest Press, Albany, New York.
3. Dagan I., Itai A. Word sense disambiguation using a second language monolingual corpus. Computational Linguistics. 20(4):1994;536-596.
4. de Saussure F. Cours de linguistique générale. 1922;Payot, Paris.
5. Escudero, G., Marquez, L., Rigau, G., 2000. An empirical study of the domain dependence of supervised word sense disambiguation systems. In: Proceeding of Empirical Methods in Natural Language Processing 2000, Hong-Kong.
6. Fellbaum C. WordNet. An Electronic Lexical Database. 1998;MIT Press, Cambridge, MA.
7. Florian R., Cucerzan S., Schafer C., Yarowsky D. Combining classifiers for word sense disambiguation. Natural Language Engineering. 8(4):2002;327-341.
8. Gale, W., Church, K., Yarowsky, D., 1992. One sense per discourse. In: Proceedings of the 4th DARPA Workshop on Speech and Natural Language Processing, Asilomar, CA, pp. 233-237.
9. Gonzalo, J., Verdejio, F., Chugur, L, Cigarran, J., August 1998. Indexing with WordNet synsets can improve text retrieval. In: Harabagiu, S. (Ed.), Proceeding of the Workshop "Usage of WordNet in Natural Language Processing Systems", Montreal, Que., Canada, pp. 38-44.
10. Guthrie, J., Guthrie, L., Wilks, Y., Aidinejad, H., June 1991. Subject-dependent co-occurence and word sense disambiguation. In: Proceedings of the 29th Annual Meeting of the ACL, Berkeley, CA, pp. 146-152.
11. Magnini, B., Cavaglià, G., June 2000. Integrating subject field codes into WordNet. In: Proceedings of LREC-2000, Second International Conference on Language Resources and Evaluation, Athens, Greece, pp. 1413-1418.
12. Magnini, B., Strapparava, C., October 2000. Experiments in word domain disambiguation for parallel texts. In: Proceedings of SIGLEX Workshop on Word Senses and Multi-linguality, Hong-Kong, pp. 27-33.
13. Magnini B., Strapparava C. JulyImproving user modelling with content-based techniques. UM2001 User Modeling: Proceedings of 8th International Conference on User Modeling (UM2001). 2001;74-83 Springer Verlag, Son-thofen, Germany.
14. Magnini, B., Strapparava, C., Pezzulo, G., Gliozzo, A., July 2001. Using domain information for word sense disambiguation. In: Proceedings of SENSEVAL-2 Second International Workshop on Evaluating Word Sense Disambiguation System, Toulose, France, pp. 111-114.
15. Magnini B., Strappfirava C., Pezzulo G., Gliozzo A. The role of domain information in word sense disambiguation. Natural Language Engineering. 8(4):2002;359-373.
16. Martinez, D., Agirre, E., 2002. Syntactic features for high precision word sense disambiguation. In: Proceedings of the 19th International Conference on Computational Linguistics (COLING), Taipei, Taiwan, pp. 626-632.
17. Mihalcea, R., May 2002. Bootstrapping large sense tagged corpora. In: Proceedings of the 3rd International Conference on Languages Resources and Evaluations (LREC 2002), Las Palmas, Spain, pp. 1407-1411.
18. Palmer, M., Fellbaum, C., Cotton, S., Delfs, L., Dang, H., July 2001. English tasks: All-words arid verb lexical sample. In: Proceedings of SENSEVAL-2, Second International Workshop on Evaluating Word Sense Disambiguation Systems, Toulouse, France, pp. 21-24.
19. Preiss, J., Yarowsky, D. (Eds.), 2002. Proceedings of SENSEVAL-2: Second International Workshop on Evaluating Word Sense Disambiguation Systems, Toulouse, France.
20. Procter, 1978. Longman Dictionary of Contemporary English.
21. Redner R., Walker H. April Mixture densities, maximum likelihood and the EM algorithm. SIAM Review. 26(2):1984;195-239.
22. Resnik P., Yarowsky D. A perspective on word sense disambiguation methods and their evaluation. Light M. Tagging Text with Lexical Semantics: Why, What and How? 1997;79-86 SIGLEX (Lexicon Special Interest Group) of the ACL, Washington.
23. Sebastiani F. Machine learning in automated text categorization. ACM Computing Surveys. 34(1):2002;1-47.
24. Stevenson, M., Wilks, Y., 1999. Combining weak knowledge sources for sense disambiguation. In: Proceedings of International Joint Conference in Artificial Intelligence, Stockholm, Sweden, pp. 884-889.
25. Trier J. Das sprachliche feld. eine auseinandersetzung. Neue Fachrbiicher für Wissenschaft und Jugendbildung. 10:1934;428-449.
26. Yarowsky, D., 1992. Word-sense disambiguation using statistical models of Roget's categories trained on large corpora. In: Proceedings of COLING92, Nantes, France, pp. 454-460.
27. Yarowsky, D., 1994. Decision lists for lexical ambiguity resolution: Application to accent restoration in Spanish and french. In: Proceedings of the 32nd Annual Meeting of the ACL, Las Cruces, New Mexico, pp. 88-95.
28. Yarowsky, D., 1995. Unsupervised word sense disambiguation rivaling supervised methods. In: Proceedings of the 33rd Annual Meeting of the ACL, Cambridge, MA, pp. 189-196.
29. Yarowsky D., Florian R. Evaluating sense disambiguation across diverse parameter space. Natural Language Engineering. 8(4):2002;293-310.