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Volumn , Issue , 2009, Pages 1152-1161

Simple coreference resolution with rich syntactic and semantic features

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS; SYNTACTICS;

EID: 77956037170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1699648.1699661     Document Type: Conference Paper
Times cited : (159)

References (24)
  • 1
    • 51849117022 scopus 로고    scopus 로고
    • Algorithms for scoring coreference chains
    • B. Amit and B. Baldwin. 1998. Algorithms for scoring coreference chains. In MUC7.
    • (1998) MUC7
    • Amit, B.1    Baldwin, B.2
  • 5
    • 84858393901 scopus 로고    scopus 로고
    • First-order probabilistic models for coreference resolution
    • A Culotta, M Wick, R Hall, and A McCallum. 2007. First-order probabilistic models for coreference resolution. In NAACL-HLT.
    • (2007) NAACL-HLT
    • Culotta, A.1    Wick, M.2    Hall, R.3    McCallum, A.4
  • 8
    • 84859918687 scopus 로고    scopus 로고
    • Incorporating non-local information into information extraction systems by gibbs sampling
    • Jenny Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In ACL.
    • (2005) ACL
    • Finkel, J.1    Grenager, T.2    Manning, C.3
  • 15
    • 80053427423 scopus 로고    scopus 로고
    • Optimization in coreference resolution is not needed: A nearly-optimal algorithm with intensional constraints
    • Manfred Klenner and Etienne Ailloud. 2007. Optimization in coreference resolution is not needed: A nearly-optimal algorithm with intensional constraints. In Recent Advances in Natural Language Processing.
    • (2007) Recent Advances in Natural Language Processing
    • Klenner, M.1    Ailloud, E.2
  • 19
    • 80053411088 scopus 로고    scopus 로고
    • Unsupervised models of coreference resolution
    • Vincent Ng. 2008. Unsupervised models of coreference resolution. In EMNLP.
    • (2008) EMNLP
    • Ng, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.