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Volumn , Issue , 2005, Pages 1105-1110

A machine learning approach to identification and resolution of one-anaphora

Author keywords

[No Author keywords available]

Indexed keywords

BRITISH NATIONAL CORPORA; MACHINE LEARNING APPROACHES; WORD ONE; WRITTEN TEXTS;

EID: 50849123687     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (17)
  • 1
    • 85036148712 scopus 로고    scopus 로고
    • A maximum-entropy inspired parser
    • E. Charniak. A maximum-entropy inspired parser. In Proceedings of NAACL, pages 132-139, 2000.
    • (2000) Proceedings of NAACL , pp. 132-139
    • Charniak, E.1
  • 5
    • 84925899721 scopus 로고
    • Deep and surface anaphora
    • J. Hankamer and I. Sag. Deep and surface anaphora. Linguistic Inquiry, 7:391-428, 1976.
    • (1976) Linguistic Inquiry , vol.7 , pp. 391-428
    • Hankamer, J.1    Sag, I.2
  • 6
    • 0001882443 scopus 로고    scopus 로고
    • Anaphora for everyone: Pronominal anaphora resolution without a parser
    • Copenhagen, Denmark
    • C. Kennedy and B. Boguraev. Anaphora for everyone: pronominal anaphora resolution without a parser. In Proceedings of COLING, pages 113-118, Copenhagen, Denmark, 1996.
    • (1996) Proceedings of COLING , pp. 113-118
    • Kennedy, C.1    Boguraev, B.2
  • 7
    • 30844441070 scopus 로고
    • A syntactically based algorithm for pronominal anaphora resolution
    • S. Lappin and H. Leass. A syntactically based algorithm for pronominal anaphora resolution. Computational Linguistics, 20:535-561, 1994.
    • (1994) Computational Linguistics , vol.20 , pp. 535-561
    • Lappin, S.1    Leass, H.2
  • 11
    • 85018107058 scopus 로고    scopus 로고
    • Improving machine learning approaches to coreference resolution
    • V. Ng and C. Cardie. Improving machine learning approaches to coreference resolution. In Proceedings of ACL, 2002.
    • Proceedings of ACL, 2002
    • Ng, V.1    Cardie, C.2
  • 15
    • 0039891959 scopus 로고    scopus 로고
    • A machine learning approach to coreference resolution of noun phrases
    • DOI 10.1162/089120101753342653
    • W. M. Soon, H. T. Ng, and D. Lim. A machine learning approach to coreference resolution of noun phrases. Computational Linguistics, 27(4):521-544, 2001. (Pubitemid 33597451)
    • (2001) Computational Linguistics , vol.27 , Issue.4 , pp. 521-544
    • Soon, W.M.1    Lim, D.C.Y.2    Ng, H.T.3
  • 16
    • 0039925298 scopus 로고    scopus 로고
    • An empirically based system for processing definite descriptions
    • R. Vieira and M. Poesio. An empirically based system for processing definite descriptions. Computational Linguistics, 26(4):539-593, 2000.
    • (2000) Computational Linguistics , vol.26 , Issue.4 , pp. 539-593
    • Vieira, R.1    Poesio, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.