메뉴 건너뛰기




Volumn , Issue , 2012, Pages 113-117

Illinois-coref: The UI system in the CoNLL-2012 shared task

Author keywords

[No Author keywords available]

Indexed keywords

COREFERENCE; COREFERENCE RESOLUTION; ILLINOIS; LEARNING PROTOCOLS; PERFORMANCE;

EID: 85119344079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (8)
  • 1
    • 80053366929 scopus 로고    scopus 로고
    • Understanding the value of features for coreference resolution
    • E. Bengtson and D. Roth. 2008. Understanding the value of features for coreference resolution. In EMNLP.
    • (2008) EMNLP
    • Bengtson, E.1    Roth, D.2
  • 3
    • 84881048672 scopus 로고    scopus 로고
    • Online latent structure training for language acquisition
    • M. Connor, C. Fisher, and D. Roth. 2011. Online latent structure training for language acquisition. In IJCAI.
    • (2011) IJCAI
    • Connor, M.1    Fisher, C.2    Roth, D.3
  • 4
    • 84880867167 scopus 로고    scopus 로고
    • A ranking approach to pronoun resolution
    • P. Denis and J. Baldridge. 2007. A ranking approach to pronoun resolution. In IJCAI.
    • (2007) IJCAI
    • Denis, P.1    Baldridge, J.2
  • 7
    • 85104634025 scopus 로고    scopus 로고
    • CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
    • S. Pradhan, A. Moschitti, N. Xue, O. Uryupina, and Y. Zhang. 2012. CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes. In CoNLL.
    • (2012) CoNLL
    • Pradhan, S.1    Moschitti, A.2    Xue, N.3    Uryupina, O.4    Zhang, Y.5
  • 8
    • 79956341893 scopus 로고    scopus 로고
    • Narrowing the modeling gap: a cluster-ranking approach to coreference resolution
    • A. Rahman and V. Ng. 2011. Narrowing the modeling gap: a cluster-ranking approach to coreference resolution. Journal of AI Research, 40(1):469-521.
    • (2011) Journal of AI Research , vol.40 , Issue.1 , pp. 469-521
    • Rahman, A.1    Ng, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.