A quantitative evaluation of global word sense induction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6608 LNCS, Issue PART 1, 2011, Pages 253-264

  Apidianaki, Marianna ^a   Van De Cruys, Tim ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EVALUATION FRAMEWORK; LOCAL SCHEMES; QUANTITATIVE EVALUATION; WORD SENSE; WORD SPACES; GLOBAL APPROACHES; WORD SENSE INDUCTIONS;

COMPUTATIONAL LINGUISTICS; TEXT PROCESSING; WORD PROCESSING;

ALGORITHMS; COMPUTATIONAL LINGUISTICS;

EID: 79952273740     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19400-9_20     Document Type: Conference Paper

References (26)

1. Ide, N., Wilks, Y.: Making sense about sense. In: Agirre, E., Edmonds, P. (eds.) Word Sense Disambiguation, Algorithms and Applications, pp. 47-73. Springer, Heidelberg (2007)
2. Harris, Z.: Distributional structure. Word, 146-162 (1954)
3. Manandhar, S., Klapaftis, I.P.: Semeval-2010 task 14: Evaluation setting for word sense induction & disambiguation systems. In: Proceedings of the NAACL HLT Workshop on Semantic Evaluations: Recent Achievements and Future Directions, Boulder, Colorado, pp. 117-122 (2009)
4. Manandhar, S., Klapaftis, I.P., Dligach, D., Pradhan, S.: Semeval-2010 task 14: Word sense induction &disambiguation. In: Proceedings of the 5th International Workshop on Semantic Evaluation, ACL 2010, Uppsala, Sweden, pp. 63-68 (2010)
5. Agirre, E., Soroa, A.: Semeval-2007 task 02: Evaluating word sense induction and discrimination systems. In: Proceedings of the 4th International Workshop on Semantic Evaluations, pp. 7-12. ACL, Prague (2007)
6. Miller, G., Charles, W.: Contextual correlates of semantic similarity. Language and Cognitive Processes 6, 1-28 (1991)
7. Navigli, R.: Word sense disambiguation: a survey. ACM Computing Surveys 41, 1-69 (2009)
8. Schütze, H.: Automatic word sense discrimination. Computational Linguistics 24, 97-123 (1998)
9. Purandare, A., Pedersen, T.: Word sense discrimination by clustering contexts in vector and similarity spaces. In: Proceedings of the Conference on Computational Natural Language Learning (CONLL), Boston, MA, pp. 41-48 (2004)
10. Pedersen, T., Bruce, R.: Distinguishing word senses in untagged text. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Providence, RI, pp. 197-207 (1997)
11. Bordag, S.: Word sense induction: Triplet-based clustering and automatic evaluation. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Trento, Italy, pp. 137-144 (2006)
12. Widdows, D., Dorow, B.: A graph model for unsupervised lexical acquisition. In: Proceedings of the 19th International Conference on Computational Linguistics (COLING), Taipei, Taiwan, pp. 1093-1099 (2002)
13. Véronis, J.: Hyperlex: lexical cartography for information retrieval. Computer Speech & Language 18, 223-252 (2004)
14. Agirre, E., Martínez, D., de Lacalle, O.L., Soroa, A.: Two graph-based algorithms for state-of-the-art wsd. In: Proceedings of the Empirical Methods in Natural Language Processing (EMNLP) Conference, Sydney, Australia, pp. 585-593 (2006)
15. Lin, D.: Automatic retrieval and clustering of similar words. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics (COLING-ACL 1998), Montreal, Quebec, Canada, vol. 2, pp. 768-774 (1998)
16. Pantel, P., Lin, D.: Discovering word senses from text. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, pp. 613-619 (2002)
17. Van de Cruys, T.: Using three way data for word sense discrimination. In: Proceedings of the 22nd International Conference on Computational Linguistics (COLING), Manchester, pp. 929-936 (2008)
18. Lee, D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. In: Advances in Neural Information Processing Systems, pp. 556-562 (2000)
19. Church, K.W., Hanks, P.: Word association norms, mutual information & lexicography. Computational Linguistics 16, 22-29 (1990)
20. Toutanova, K., Manning, C.D.: Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC), pp. 63-70 (2000)
21. Toutanova, K., Klein, D., Manning, C., Singer, Y.: Feature-rich part-of-speech tagging with a cyclic dependency network. In: Proceedings of the Human Language Technology / North American Association for Computational Linguistics conference (HLT-NAACL), pp. 252-259 (2003)
22. Nivre, J., Hall, J., Nilsson, J.: Maltparser: A data-driven parser-generator for dependency parsing. In: Proceedings of the Language Resources and Evaluation Conference (LREC), Genoa, Italy, pp. 2216-2219 (2006)
23. Hovy, E., Marcus, M., Palmer, M., Ramshaw, L., Weischedel, R.: Ontonotes: the 90% solution. In: Proceedings of the Human Language Technology / North American Association for Computational Linguistics conference (HLT-NAACL), Companion Volume: Short Papers on XX, New York, NY, pp. 57-60 (2006)
24. Rosenberg, A., Hirschberg, J.: V-measure: A conditional entropy-based external cluster evaluation measure. In: Proceedings of the Joint 2007 Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), Prague, Czech Republic, pp. 410-420 (2007)
25. Artiles, J., Amigó, E., Gonzalo, J.: The role of named entities in web people search. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 534-542 (2009)
26. Pedersen, T.: Duluth-wsi: Senseclusters applied to the sense induction task of semeval-2. In: Proceedings of the 5th International Workshop on Semantic Evaluation, pp. 363-366. Association for Computational Linguistics, Uppsala (2010)