Trends in word sense disambiguation

Artificial Intelligence Review

Volumn 42, Issue 2, 2014, Pages 159-171

  Vidhu Bhala, R V ^a   Abirami, S ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

Computational linguistics; Word sense disambiguation

Indexed keywords

COMPUTATIONAL LINGUISTICS; LINGUISTICS;

PAPER SURVEYS; USAGE CONTEXT; WORD SENSE DISAMBIGUATION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84904855991     PISSN: 02692821     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10462-012-9331-5     Document Type: Article

References (38)

1. Agirre E, Martinez D, L'opez de Lacealle O, Soroa A (2006) Two graph-based algorithms for state-of-the-art WSD. In: Proceedings of the 2006 conference on empirical methods in natural language processing, Stroudsburg, PA, USA, pp 585-593
2. Bhattacharya I, Getoor L, Bengio Y (2004) Unsupervised sense disambiguation using bilingual probabilistic models. In: ACL 04 Proceedings of the 42nd annual meeting on association for computational linguistics, Stroudsburg, PA, USA, p 287 (2004)
3. Brody S, Lapata M (2009) Bayesian word sense induction. In: Proceedings of the 12th conference of the European chapter of the association for computational linguistics (EACL'09). Association for computational linguistics, Stroudsburg, PA, USA, pp 103-111
4. Bruce RF, Wiebe JM (1999) Decomposable modeling in natural language processing. Comput Linguist 25(2): 195-207
5. Chen P, Ding W, Choly M, Bowes C (2010) Word sense disambiguation with automatically acquired knowledge. IEEE Intell Syst PP(99), 1-1
6. Chodorow M, Leacock C, Miller G (2000) A topical/local classifier for word sense identification. Comput Humanit 34(1): 115-120
7. Chodorow M, Miller G, Landes S, Leacock C, Thomas R (1994) Using a semantic concordance for sense identification. In: Proceedings of the workshop on human language technology HLT 94, Plainsboro, NJ, pp 240-243
8. Collins A, Loftus E (1975) A spreading-activation theory of semantic processing. Pyschol Rev 82(6): 407-428
9. Dang H, Palmer M (2002) Combining contextual features for word sense disambiguation. In: Proceedings of the ACL-02 workshop on word sense disambiguation: recent successes and future directions - WSD '02, Stroudsburg, PA, USA, vol 8, pp 88-94
10. Escudero G, Lluís M, German R (2000) Boosting applied to word sense disambiguation. In: Proceedings of the 11th European conference on machine learning (ECML: '00), machine learning: ECML 2000, vol 1820, 129-141
11. Fellbaum C, Palmer M, Dang HT, Delfs L, Wolf S (2001) Manual and automated semantic annotation with WordNet. In: Proceedings of the NAACL workshop on WordNet and other lexical resources applications customizations, Pittsburg, PA, Invited Talk, pp 3-10
12. Hutchins J (1999) Warren Weaver memorandum: 50th anniversary of machine translation. MT News International (22):5-6
13. Hutchins WJ (2000) Early years in machine translation: memoirs and biographies of pioneers. John Benjamins, Europe, 400 (2000)
14. Hwang M, Choi C, Kim P (2011) Automatic enrichment of semantic relation network and its application to word sense disambiguation. IEEE Trans Knowl Data Eng 23(6): 845-858
15. Ide N, Véronis J (1998) Introduction to the special issue on word sense disambiguation: the state of the art. Comput Linguist 24(1): 2-40
16. Kilgarriff A (1997) I don't believe in word senses. Comput Humanit 31(2): 25
17. Kilgarriff A (1998) SENSEVAL: an exercise in evaluating word sense disambiguation programs. In: Proceedings of the international conference on language resources and evaluation LREC, Granada, pp 581-588
18. KotlerMan L, Dagan I, Szpektor I, Zhitomirsky-Geffet M (2010) Directional distributional similarity for lexical inference. Nat Lang Eng 16(4): 359-389
19. Lee Y, Ng H, Chia T (2004) Supervised word sense disambiguation with support vector machines and multiple knowledge sources. In: Mihalcea R, Edmonds P, (eds), Senseval-3: third international workshop on the evaluation of systems for the semantic analysis of text, Barcelona, Spain, pp 137-140 (July 2004)
20. Li C, Sun A, Datta A (2011) A generalized method for word sense disambiguation based on wikipedia. In: Proceedings of the 33rd European conference on advances in information retrieval, Dublin, Ireland, vol 6611/2011, pp 653-664
21. Mihalcea R (2007) Using Wikipedia for automatic word sense disambiguation. In: Proceedings of the conference of the North American chapter of the association for computational linguistics (NAACL), Rochester, NY, vol 2007, pp 196-203
22. Navigli R (2009) Word sense disambiguation: a survey. ACM Comput Surv 41(2): 1-69
23. Navigli R (2010) Simone Paolo Ponzetto: knowledge-rich word sense disambiguation rivaling supervised systems. In: ACL '10 Proceedings of the 48th annual meeting of the association for computational linguistics, Uppsala, Sweden, pp 1522-1531 (2010)
24. Navigli R, Lapata M (2010) An experimental study of graph connectivity for unsupervised word sense disambiguation. IEEE Trans Pattern Anal Mach Intell 32(4): 678-692
25. Navigli R, Velardi P (2005) Structural semantic interconnections: a knowledge-based approach to word sense disambiguation. IEEE Trans Pattern Anal Mach Intell 27(7): 1075-1086 (Pubitemid 41046903)
26. Purandare A, Pedersen T (2004) Word sense discrimination by clustering contexts in vector and similarity spaces. In: Proceedings of the conference on computational natural language learning, Boston, MA, pp 41-48
27. Schwartz H, Gomez F (2009) Using web selectors for disambiguation of all words. In: Proceedings of the workshop on semantic evaluations recent achievements and future directions, Boulder, Colorado, pp 28-36
28. Schwartz H, Gomez F (2010) UCF-WS: domain word sense disambiguation using web selectors. In: SemEval '10 Proceedings of the 5th international workshop on semantic evaluation, Strousburg, PA, USA, pp 392-395
29. Sinha R, Mihalcea R (2007) Unsupervised graph-based word sense disambiguation using measures of word semantic similarity. In: Semantic Computing, 2007. ICSC 2007, Irvine, CA, pp 363-369 (2007)
30. Stanfill C, Waltz D (1986) Toward memory-based reasoning. Commun ACM 29(12): 1213-1228 (Pubitemid 17509858)
31. Stevenson M (2001) The interaction of knowledge sources in word sense disambiguation. Comput Linguistics 27(3): 321-349
32. Towell G, Voorhees E (1998) Disambiguating highly ambiguous words. Computat Linguist Special Issue Word Sense Disambiguation 24(1): 125-145
33. Turdakov D (2010) Word sense disambiguation methods. Program Comput Softw 36(6): 309-326
34. ®). (Accessed September 19, 2011) http://www.nlm.nih.gov/research/umls/
35. Veronis J (2004) HyperLex: lexical cartography for information retrieval. Comput Speech Lang 18(3): 223-252
36. Weeds J, Weir D, McCarthy D (2004) Characterising measures of lexical distributional similarity. In: 20th international conference on computational linguistics COLING 04, Geneva, Switzerland, pp 1015-es
37. Yuret D, Yatbaz M (2010) The noisy channel model for unsupervised word sense disambiguation. J Comput Linguist 36(1): 111-127
38. Zhou X, Han H (2005) Survey of word sense disambiguation approaches. In: Proceedings of the 18th International Florida AI Research Society Conference, 2005, pp 307-313, Clearwater Beach, Florida