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Volumn 4410 LNAI, Issue , 2007, Pages 125-136

Improving coreference resolution using bridging reference resolution and automatically acquired synonyms

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GRAMMARS;

EID: 37249078154     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71412-5_9     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 2
    • 0039891959 scopus 로고    scopus 로고
    • A machine learning approach to coreference resolution of noun phrases
    • Soon, W.M., Ng, H.T., Lim, D.C.Y.: A machine learning approach to coreference resolution of noun phrases. Computational Linguistics 27(4) (2001) 521-544
    • (2001) Computational Linguistics , vol.27 , Issue.4 , pp. 521-544
    • Soon, W.M.1    Ng, H.T.2    Lim, D.C.Y.3
  • 5
  • 6
    • 0010140089 scopus 로고    scopus 로고
    • Nishio, M, Iwabuti, E, Mizutani, S, eds, Iwanami Shoten
    • Nishio, M., Iwabuti, E., Mizutani, S., eds.: Iwanami Kokugo Jiten. Iwanami Shoten (2000)
    • (2000) Iwanami Kokugo Jiten
  • 7
    • 84937319048 scopus 로고
    • A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures
    • Kurohashi, S., Nagao, M.: A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures. Computational Linguistics 20(4) (1994) 507-534
    • (1994) Computational Linguistics , vol.20 , Issue.4 , pp. 507-534
    • Kurohashi, S.1    Nagao, M.2
  • 12
    • 37249089363 scopus 로고    scopus 로고
    • Noun phrase coreference resolution in Japanese most likely candidate antecedents (in Japanese)
    • Iida, R., Inui, K., Matsumoto, Y., Sekine, S.: Noun phrase coreference resolution in Japanese most likely candidate antecedents (in Japanese). Journal of Information Processing Society of Japan 46(3) (2005) 831-844
    • (2005) Journal of Information Processing Society of Japan , vol.46 , Issue.3 , pp. 831-844
    • Iida, R.1    Inui, K.2    Matsumoto, Y.3    Sekine, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.