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Volumn 3651 LNAI, Issue , 2005, Pages 719-730

A twin-candidate model of coreference resolution with non-anaphor identification capability

Author keywords

[No Author keywords available]

Indexed keywords

EVALUATION; MATHEMATICAL MODELS; NATURAL LANGUAGE PROCESSING SYSTEMS; PERFORMANCE; PERSONNEL TRAINING; RELIABILITY;

EID: 33645962468     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11562214_63     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 3
    • 0039891959 scopus 로고    scopus 로고
    • A machine learning approach to coreference resolution of noun phrases
    • Soon, W., Ng, H., Lim, D.: A machine learning approach to coreference resolution of noun phrases. Computational Linguistics 27 (2001) 521-544
    • (2001) Computational Linguistics , vol.27 , pp. 521-544
    • Soon, W.1    Ng, H.2    Lim, D.3
  • 6
    • 33745153709 scopus 로고    scopus 로고
    • Incorporating contextual cues in trainable models for coreference resolution
    • Proceedings of the 10th Conference of EACL
    • Iida, R., Inui, K., Takamura, H., Matsumoto, Y.: Incorporating contextual cues in trainable models for coreference resolution. In: Proceedings of the 10th Conference of EACL, Workshop "The Computational Treatment of Anaphora". (2003)
    • (2003) Workshop "The Computational Treatment of Anaphora"
    • Iida, R.1    Inui, K.2    Takamura, H.3    Matsumoto, Y.4
  • 10
    • 0003500248 scopus 로고
    • C4.5: Morgan Kaufmann Publishers, San Francisco, CA
    • Quinlan, J.R.: C4.5: Programs for machine learning. Morgan Kaufmann Publishers, San Francisco, CA (1993)
    • (1993) Programs for Machine Learning
    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.