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Volumn , Issue , 2007, Pages 113-120

A systematic exploration of the feature space for relation extraction

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; FEATURE PRUNING; FEATURE SPACE; FEATURE SUBSPACE; GRAPHIC REPRESENTATION; LARGE SPACES; RELATION EXTRACTION; SEMANTIC RELATIONS; STATE-OF-THE-ART METHODS; STATE-OF-THE-ART PERFORMANCE; STATISTICAL LEARNING; SYSTEMATIC EXPLORATION;

EID: 84858434398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (182)

References (12)
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    • Bunescu, R.C.1    Mooney, R.J.2
  • 2
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    • Subsequence kernels for relation extraction
    • Razvan C. Bunescu and Raymond J. Mooney. 2005b. Subsequence kernels for relation extraction. In Proceedings of NIPS.
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    • Bunescu, R.C.1    Mooney, R.J.2
  • 3
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    • Dependency tree kernels for relation extraction
    • Aron Culotta and Jeffrey Sorensen. 2004. Dependency tree kernels for relation extraction. In Proceedings of ACL.
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    • Culotta, A.1    Sorensen, J.2
  • 4
    • 1942485292 scopus 로고    scopus 로고
    • On kernel methods for relational learning
    • Chad Cumby and Dan Roth. 2003. On kernel methods for relational learning. In Proceedings of ICML.
    • (2003) Proceedings of ICML
    • Cumby, C.1    Roth, D.2
  • 5
    • 85118960253 scopus 로고    scopus 로고
    • Discovering relations among named entities from large corpora
    • Takaaki Hasegawa, Satoshi Sekine, and Ralph Grishman. 2004. Discovering relations among named entities from large corpora. In Proceedings ACL.
    • (2004) Proceedings ACL
    • Hasegawa, T.1    Sekine, S.2    Grishman, R.3
  • 6
    • 85140744814 scopus 로고    scopus 로고
    • Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations
    • Nanda Kambhatla. 2004. Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations. In Proceedings of ACL.
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    • Kambhatla, N.1
  • 7
    • 85149116491 scopus 로고    scopus 로고
    • Hierarchical directed acyclic graph kernel: Methods for structured natural language data
    • Jun Suzuki, Tsutomu Hirao, Yutaka Sasaki, and Eisaku Maeda. 2003. Hierarchical directed acyclic graph kernel: Methods for structured natural language data. In Proceedings of ACL.
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    • Suzuki, J.1    Hirao, T.2    Sasaki, Y.3    Maeda, E.4
  • 9
    • 84863368822 scopus 로고    scopus 로고
    • Exploring syntactic features for relation extraction using a convolution tree kernel
    • Min Zhang, Jie Zhang, and Jian Su. 2006a. Exploring syntactic features for relation extraction using a convolution tree kernel. In Proceedings of HLT/NAACL.
    • (2006) Proceedings of HLT/NAACL
    • Zhang, M.1    Zhang, J.2    Su, J.3
  • 10
    • 84860532294 scopus 로고    scopus 로고
    • A composite kernel to extract relations between entities with both flat and structured features
    • Min Zhang, Jie Zhang, Jian Su, and Guodong Zhou. 2006b. A composite kernel to extract relations between entities with both flat and structured features. In Proceedings of ACL.
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    • Zhang, M.1    Zhang, J.2    Su, J.3    Zhou, G.4
  • 11
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    • Extracting relations with integrated information using kernel methods
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  • 12
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    • Exploring various knowledge in relation extraction
    • GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005. Exploring various knowledge in relation extraction. In Proceedings of ACL.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.