The effect of bias on an automatically-built word sense corpus

Proceedings of the 4th International Conference on Language Resources and Evaluation, LREC 2004

Volumn , Issue , 2004, Pages 1665-1668

  Martinez, David ^a   Agirre, Eneko ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC ACQUISITION; DETERMINANT FACTORS; TAGGED DATA; TEST CORPUS; WORD SENSE; WORD-SENSE DISAMBIGUATION; WORDNET;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84885614091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. Agirre, E. and D. Martinez, 2000. Exploring automatic word sense disambiguation with decision lists and the web. Procedings of the COLING 2000 Workshop on Semantic Annotation and Intelligent Content.
3. Argamon-Engelson, S. and I. Dagan, 1999. Committeebased sample selection for probabilistic classifiers. Journal of Artificial Intelligence Research, 11:335-360.
4. Edmonds, Phil and Scott Cotton, 2001. Senseval-2: Overview. In Proceedings of the Second International Workshop on evaluating Word Sense Disambiguation Systems. Toulouse, France.
5. Leacock, C., M. Chodorow, and G. A. Miller, 1998. Using corpus statistics and WordNet relations for sense identification. Computational Linguistics, 24(1):147-165.
6. Martinez, D. and E. Agirre, 2000. One sense per collocation and genre/topic variations. Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora.
7. Mihalcea, Rada, 2002. Bootstrapping large sense tagged corpora. Proceedings of the 3rd International Conference on Languages Resources and Evaluations (LREC).
8. Miller, G. A., C. Leacock, R. Tengi, and R. Bunker, 1993. A semantic concordance. In Proceedings of the ARPA Human Language Technology Workshop. Princeton, NJ.
9. Distributed as Human Language Technology by San Mateo, CA: Morgan Kaufmann Publishers.
10. Yarowsky, David, 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL). Cambridge, MA.