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Volumn , Issue , 2006, Pages 288-295

Exploring syntactic features for relation extraction using a convolution tree kernel

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; CONVOLUTION; EXTRACTION; SYNTACTICS;

EID: 84863368822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220835.1220872     Document Type: Conference Paper
Times cited : (92)

References (17)
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    • Collins, M.1    Duffy, N.2
  • 5
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    • Dependency tree kernel for relation extraction
    • Culotta A. and Sorensen J. 2004. Dependency Tree Kernel for Relation Extraction. ACL-2004
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    • Culotta, A.1    Sorensen, J.2
  • 7
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    • Text categorization with support vecor machine: Learning with many relevant features
    • Joachims T. 1998. Text Categorization with Support Vecor Machine: learning with many relevant features. ECML-1998
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    • Joachims, T.1
  • 8
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    • Combining lexical, syntactic and semantic features with maximum entropy models for extracting relations
    • (poster)
    • Kambhatla Nanda. 2004. Combining lexical, syntactic and semantic features with Maximum Entropy models for extracting relations. ACL-2004 (poster)
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    • Nanda, K.1
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    • Miller, S.1    Fox, H.2    Ramshaw, L.3    Weischedel, R.4
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    • A study on convolution kernels for shallow semantic parsing
    • Moschitti Alessandro. 2004. A Study on Convolution Kernels for Shallow Semantic Parsing. ACL-2004
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    • Alessandro, M.1
  • 12
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    • Hierarchical directed acyclic graph kernel: Methods for structured natural language data
    • Suzuki J., Hirao T., Sasaki Y. and Maeda E. 2003. Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data. ACL-2003
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    • Suzuki, J.1    Hirao, T.2    Sasaki, Y.3    Maeda, E.4
  • 16
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    • Extracting relations with integrated information using kernel methods
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  • 17
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    • Exploring various knowledge in relation extraction
    • Zhou Guodong, Su Jian, Zhang Jie and Zhang Min. 2005. Exploring Various Knowledge in Relation Extraction. ACL-2005
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.