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Volumn 1, Issue , 2006, Pages 825-832

A composite kernel to extract relations between entities with both flat and structured features

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; FORESTRY;

EID: 84860532294     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220175.1220279     Document Type: Conference Paper
Times cited : (229)

References (17)
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  • 3
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    • A shortest path dependency kernel for relation extraction
    • Bunescu R. C. and Mooney R. J. 2005. A Shortest Path Dependency Kernel for Relation Extraction. EMNLP-2005
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  • 4
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  • 5
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    • Convolution kernels for natural language
    • Collins M. and Duffy N. 2001. Convolution Kernels for Natural Language. NIPS-2001.
    • (2001) NIPS-2001
    • Collins, M.1    Duffy, N.2
  • 6
    • 85144480129 scopus 로고    scopus 로고
    • Dependency tree kernel for relation extraction
    • Culotta A. and Sorensen J. 2004. Dependency Tree Kernel for Relation Extraction. ACL-2004
    • (2004) ACL-2004
    • Culotta, A.1    Sorensen, J.2
  • 8
    • 0000636553 scopus 로고    scopus 로고
    • 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
    • (1998) ECML-1998
    • Joachims, T.1
  • 9
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    • Combining lexical, syntactic and semantic features with Maximum Entropy models for extracting relations
    • Kambhatla N. 2004. Combining lexical, syntactic and semantic features with Maximum Entropy models for extracting relations. ACL-2004 (poster)
    • (2004) ACL-2004 (Poster)
    • Kambhatla, N.1
  • 11
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    • A novel use of statistical parsing to extract information from text
    • Miller S., Fox H., Ramshaw L. and Weischedel R. 2000. A novel use of statistical parsing to extract information from text. NAACL-2000
    • (2000) NAACL-2000
    • Miller, S.1    Fox, H.2    Ramshaw, L.3    Weischedel, R.4
  • 12
    • 77950875598 scopus 로고    scopus 로고
    • A study on convolution kernels for shallow semantic parsing
    • Moschitti A. 2004. A Study on Convolution Kernels for Shallow Semantic Parsing. ACL-2004 MUC. 1987-1998. http://www.itl.nist.gov/iaui/894.02/related- projects/muc/
    • (2004) ACL-2004 MUC , pp. 1987-1998
    • Moschitti, A.1
  • 14
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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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    • Extracting relations with integrated information using kernel methods
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    • Exploring various knowledge in relation extraction
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.