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Volumn , Issue , 2005, Pages 53-56

SenseLearner: Word sense disambiguation for allwords in unrestricted text

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; GLOBAL MODELS; SMALL DATA SET; TEST DATA; TRAINING DATA; TRAINING PURPOSE; UNRESTRICTED TEXTS; WORD SENSE DISAMBIGUATION; WORD SENSE DISAMBIGUATION SYSTEMS; WORDNET SENSE;

EID: 67349170611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (9)
  • 4
    • 67149129344 scopus 로고    scopus 로고
    • SenseLearner: Minimally supervised word sense disambiguation for all words in open text
    • Barcelona, Spain, July
    • R. Mihalcea and E. Faruque. 2004. SenseLearner: Minimally supervised word sense disambiguation for all words in open text. In Proceedings of ACL/SIGLEX Senseval-3, Barcelona, Spain, July.
    • (2004) Proceedings of ACL/SIGLEX Senseval-3
    • Mihalcea, R.1    Faruque, E.2
  • 5
    • 85149144381 scopus 로고    scopus 로고
    • Pattern learning and active feature selection for word sense disambiguation
    • Toulouse, France, July
    • R. Mihalcea and D. Moldovan. 2002. Pattern learning and active feature selection for word sense disambiguation. In Senseval 2001, ACL Workshop, pages 127-130, Toulouse, France, July.
    • (2002) Senseval 2001, ACL Workshop , pp. 127-130
    • Mihalcea, R.1    Moldovan, D.2
  • 8
    • 84976702763 scopus 로고
    • Wordnet: A lexical database
    • G. Miller. 1995. Wordnet: A lexical database. Communication of the ACM, 38(11):39-41.
    • (1995) Communication of the ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.