메뉴 건너뛰기




Volumn , Issue , 2007, Pages 592-599

A multi-resolution framework for Information Extraction from free text

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY RELATION; FREE TEXTS; INFORMATION EXTRACTION; MULTI-RESOLUTIONS; STATISTICAL CORRELATION;

EID: 80051537809     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (22)
  • 2
    • 23344432396 scopus 로고    scopus 로고
    • Ontology-driven discourse analysis for information extraction
    • P. Cimiano, U. Reyle and J. Saric. 2005. Ontology-driven discourse analysis for information extraction. Data & Knowledge Engineering, 55(1):59-83.
    • (2005) Data & Knowledge Engineering , vol.55 , Issue.1 , pp. 59-83
    • Cimiano, P.1    Reyle, U.2    Saric, J.3
  • 3
    • 27544448117 scopus 로고    scopus 로고
    • A maximum entropy approach to information extraction from semi-structured and free text
    • H.L. Chieu and H.T. Ng. 2002. A Maximum Entropy Approach to Information Extraction from Semi-Structured and Free Text. In Proc of AAAI-2002.
    • (2002) Proc of AAAI-2002
    • Chieu, H.L.1    Ng, H.T.2
  • 4
    • 84880859303 scopus 로고    scopus 로고
    • Adaptive information extraction from text by rule induction and generalization
    • F. Ciravegna. 2001. Adaptive Information Extraction from Text by Rule Induction and Generalization. In Proc of IJCAI-2001.
    • (2001) Proc of IJCAI-2001
    • Ciravegna, F.1
  • 5
    • 85144480129 scopus 로고    scopus 로고
    • Dependency tree kernels for relation extraction
    • A. Culotta and J. Sorensen J. 2004. Dependency tree kernels for relation extraction. In Proc of ACL-2004.
    • (2004) Proc of ACL-2004
    • Culotta, A.1    Sorensen J, J.2
  • 7
    • 84936824219 scopus 로고
    • Attention, intentions and the structure of discourse
    • B. Grosz and C. Sidner. 1986. Attention, Intentions and the Structure of Discourse. Computational Linguistics, 12(3):175-204.
    • (1986) Computational Linguistics , vol.12 , Issue.3 , pp. 175-204
    • Grosz, B.1    Sidner, C.2
  • 10
    • 84860539782 scopus 로고    scopus 로고
    • ARE: Instance splitting strategies for dependency relation-based information extraction
    • M. Maslennikov, H.K. Goh and T.S. Chua. 2006. ARE: Instance Splitting Strategies for Dependency Relation-based Information Extraction. In Proc of ACL-2006.
    • (2006) Proc of ACL-2006
    • Maslennikov, M.1    Goh, H.K.2    Chua, T.S.3
  • 12
    • 0036865520 scopus 로고    scopus 로고
    • First steps in building a model for the retrieval of court decisions. International
    • M.F. Moens and R. De Busser. 2002. First steps in building a model for the retrieval of court decisions. International Journal of Human-Computer Studies, 57(5):429-446.
    • (2002) Journal of Human-Computer Studies , vol.57 , Issue.5 , pp. 429-446
    • Moens, M.F.1    De Busser, R.2
  • 14
    • 48449091601 scopus 로고    scopus 로고
    • Exploiting subjectivity classification to improve information extraction
    • E. Riloff, J. Wiebe, and W. Phillips. 2005. Exploiting Subjectivity Classification to Improve Information Extraction. In Proc of AAAI-2005.
    • (2005) Proc of AAAI-2005
    • Riloff, E.1    Wiebe, J.2    Phillips, W.3
  • 15
    • 0032624184 scopus 로고    scopus 로고
    • Learning information extraction rules for semi-structured and free text
    • S. Soderland. 1999. Learning Information Extraction Rules for Semi-Structured and Free Text. Machine Learning, 34:233-272.
    • (1999) Machine Learning , vol.34 , pp. 233-272
    • Soderland, S.1
  • 16
    • 85118762314 scopus 로고    scopus 로고
    • Sentence level discourse parsing using syntactic and lexical information
    • R. Soricut and D. Marcu. 2003. Sentence Level Discourse Parsing using Syntactic and Lexical Information. In Proc of HLT/NAACL.
    • (2003) Proc of HLT/NAACL
    • Soricut, R.1    Marcu, D.2
  • 18
    • 33746177665 scopus 로고    scopus 로고
    • Applications of rhetorical structure theory
    • M. Taboada and W. Mann. 2005. Applications of Rhetorical Structure Theory. Discourse studies, 8(4).
    • (2005) Discourse Studies , vol.8 , Issue.4
    • Taboada, M.1    Mann, W.2
  • 20
    • 84864715432 scopus 로고    scopus 로고
    • Cascading use of soft and hard matching pattern rules for weakly supervised information extraction
    • J. Xiao, T.S. Chua and H. Cui. 2004. Cascading Use of Soft and Hard Matching Pattern Rules for Weakly Supervised Information Extraction. In Proc of COLING-2004.
    • (2004) Proc of COLING-2004
    • Xiao, J.1    Chua, T.S.2    Cui, H.3
  • 21
    • 84860532294 scopus 로고    scopus 로고
    • A composite kernel to extract relations between entities with both flat and structured features
    • M. Zhang, J. Zhang, J. Su and G. Zhou. 2006. A Composite Kernel to Extract Relations between Entities with both Flat and Structured Features. In Proc of ACL-2006.
    • (2006) Proc of ACL-2006
    • Zhang, M.1    Zhang, J.2    Su, J.3    Zhou, G.4
  • 22
    • 37849031039 scopus 로고    scopus 로고
    • Modeling commonality among related classes in relation extraction
    • G. Zhou, J. Su and M. Zhang. 2006. Modeling Commonality among Related Classes in Relation Extraction. In Proc of ACL-2006.
    • (2006) Proc of ACL-2006
    • Zhou, G.1    Su, J.2    Zhang, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.