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Volumn , Issue , 2009, Pages 1-6

Classifier combination techniques applied to coreference resolution

Author keywords

[No Author keywords available]

Indexed keywords

BAGGING METHOD; BOOSTING METHOD; CLASSIFIER COMBINATION; COMBINATION APPROACHES; COREFERENCE; COREFERENCE RESOLUTION; EXPERIMENTAL EVIDENCE; FEATURE DATA; TRAINING DATA;

EID: 77749243720     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (18)
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  • 3
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    • A post-processing system to yield reduced word error rates: Recogniser output voting error reduction (rover)
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  • 4
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    • Improving accuracy in word class tagging through the combination of machine learning systems
    • H. V. Halteren et al. 2001. Improving accuracy in word class tagging through the combination of machine learning systems. Computational Linguistics, 27.
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    • Halteren, H. V.1
  • 5
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    • Multi-engine machine translation guided by explicit word matching
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    • Jayaraman, S.1    Lavie, A.2
  • 7
    • 24344463772 scopus 로고    scopus 로고
    • A mention-synchronous coreference resolution algorithm based on the bell tree
    • X. Luo et al. 2004. A mention-synchronous coreference resolution algorithm based on the bell tree. In Proc. of ACL.
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    • Luo, X.1
  • 8
    • 80053254849 scopus 로고    scopus 로고
    • On coreference resolution performance metrics
    • X. Luo. 2005. On coreference resolution performance metrics. In Proc. of EMNLP.
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    • Luo, X.1
  • 9
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    • Toward conditional models of identity uncertainty with application to proper noun coreference
    • A. McCallum and B. Wellner. 2003. Toward conditional models of identity uncertainty with application to proper noun coreference. In Proc. of IJCAI/IIWeb.
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    • McCallum, A.1    Wellner, B.2
  • 11
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    • Bootstrapping coreference classifiers with multiple machine learning algorithms
    • V. Ng and C. Cardie. 2003. Bootstrapping coreference classifiers with multiple machine learning algorithms. In Proc. of EMNLP.
    • (2003) Proc. of EMNLP.
    • Ng, V.1    Cardie, C.2
  • 12
    • 80053361368 scopus 로고    scopus 로고
    • Unsupervised models for coreference resolution
    • V. Ng. 2008. Unsupervised models for coreference resolution. In Proc. of EMNLP.
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    • Ng, V.1
  • 13
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    • NIST
    • NIST. 2005. ACE'05 evaluation. www.nist.gov/speech/tests/ace/ace05/index.html.
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.