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Volumn , Issue , 2010, Pages 511-532

Information extraction

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL;

EID: 84870968060     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (55)

References (94)
  • 7
    • 0032632354 scopus 로고    scopus 로고
    • An algorithm that learns what’s in a name
    • Bikel, D. M., R. Schwartz, and R. M. Weischedel (1999). An algorithm that learns what’s in a name. Machine Learning 34(1), 211-231.
    • (1999) Machine Learning , vol.34 , Issue.1 , pp. 211-231
    • Bikel, D.M.1    Schwartz, R.2    Weischedel, R.M.3
  • 8
    • 0003146263 scopus 로고    scopus 로고
    • Extracting patterns and relations from the World Wide Web
    • Valencia, Spain
    • Brin, S. (1998). Extracting patterns and relations from the World Wide Web. In WebDB Workshop at EDBT-98, Valencia, Spain.
    • (1998) WebDB Workshop at EDBT-98
    • Brin, S.1
  • 12
    • 2342598419 scopus 로고    scopus 로고
    • Bottom-up relational learning of pattern matching rules for information extraction
    • Califf, M. and R. Mooney (2003). Bottom-up relational learning of pattern matching rules for information extraction. Journal of Machine Learning Research 4, 177-210.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 177-210
    • Califf, M.1    Mooney, R.2
  • 14
    • 0036923221 scopus 로고    scopus 로고
    • A maximum entropy approach to information extraction from semistructured and free text
    • Edmonton, Alberta, Canada
    • Chieu, H. and H. Ng (2002). A maximum entropy approach to information extraction from semistructured and free text. In Proceedings of the 18th National Conference on Artificial Intelligence, Edmonton, Alberta, Canada.
    • (2002) Proceedings of the 18th National Conference on Artificial Intelligence
    • Chieu, H.1    Ng, H.2
  • 26
    • 38049050319 scopus 로고    scopus 로고
    • Fine grained classification of named entities
    • August, Taipei, Taiwan
    • Fleischman, M. and E. Hovy (2002, August). Fine grained classification of named entities. In Proceedings of the COLING Conference, Taipei, Taiwan.
    • (2002) Proceedings of the COLING Conference
    • Fleischman, M.1    Hovy, E.2
  • 37
    • 33947304181 scopus 로고    scopus 로고
    • Overview of BioCreAtIvE: Critical assessment of information extraction for biology
    • May
    • Hirschman, L., A. Yeh, C. Blaschke, and A. Valencia (2005, May). Overview of BioCreAtIvE: Critical assessment of information extraction for biology. BMC Bioinformatics 6(Suppl 1), S1.
    • (2005) BMC Bioinformatics , vol.6 , pp. S1
    • Hirschman, L.1    Yeh, A.2    Blaschke, C.3    Valencia, A.4
  • 39
    • 0001797799 scopus 로고    scopus 로고
    • FASTUS: A cascaded finite-state transducer for extracting information from natural-language text
    • E. Roche and Y. Schabes (Eds.), MIT Press, Cambridge, MA
    • Hobbs, J. R., D. E. Appelt, J. Bear, D. Israel, M. Kameyama, M. Stickel, and M. Tyson (1997). FASTUS: A cascaded finite-state transducer for extracting information from natural-language text. In E. Roche and Y. Schabes (Eds.), Finite State Devices for Natural Language Processing, pp. 383-406. MIT Press, Cambridge, MA.
    • (1997) Finite State Devices for Natural Language Processing , pp. 383-406
    • Hobbs, J.R.1    Appelt, D.E.2    Bear, J.3    Israel, D.4    Kameyama, M.5    Stickel, M.6    Tyson, M.7
  • 40
    • 0008606658 scopus 로고    scopus 로고
    • Learning information extraction patterns from examples
    • S. Wermter, E. Riloff, and G. Scheler (Eds.), Springer-Verlag, Berlin, Germany
    • Huffman, S. (1996). Learning information extraction patterns from examples. In S. Wermter, E. Riloff, and G. Scheler (Eds.), Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing, pp. 246-260. Springer-Verlag, Berlin, Germany.
    • (1996) Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing , pp. 246-260
    • Huffman, S.1
  • 70
    • 0030213896 scopus 로고    scopus 로고
    • An empirical study of automated dictionary construction for information extraction in three domains
    • Riloff, E. (1996a). An empirical study of automated dictionary construction for information extraction in three domains. Artificial Intelligence 85, 101-134.
    • (1996) Artificial Intelligence , vol.85 , pp. 101-134
    • Riloff, E.1
  • 71
    • 0030352390 scopus 로고    scopus 로고
    • Automatically generating extraction patterns from untagged text
    • Portland, OR, The AAAI Press/MIT Press
    • Riloff, E. (1996b). Automatically generating extraction patterns from untagged text. In Proceedings of the 13th National Conference on Artificial Intelligence, Portland, OR pp. 1044-1049. The AAAI Press/MIT Press.
    • (1996) Proceedings of the 13th National Conference on Artificial Intelligence , pp. 1044-1049
    • Riloff, E.1
  • 74
    • 85099019865 scopus 로고    scopus 로고
    • Introduction to the conll-2003 shared task: Languageindependent named entity recognition
    • Edmonton, Canada
    • Sang, E. F. T. K. and F. D. Meulder (2003). Introduction to the conll-2003 shared task: Languageindependent named entity recognition. In Proceedings of CoNLL-2003, Edmonton, Canada, pp. 142-147
    • (2003) Proceedings of CoNLL-2003 , pp. 142-147
    • Sang, E.F.T.K.1    Meulder, F.D.2
  • 77
    • 0032624184 scopus 로고    scopus 로고
    • Learning information extraction rules for semi-structured and free text
    • Soderland, S. (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
  • 80
    • 0039891959 scopus 로고    scopus 로고
    • A machine learning approach to coreference of noun phrases
    • Soon, W., H. Ng, and D. Lim (2001). A machine learning approach to coreference of noun phrases. Computational Linguistics 27(4), 521-541.
    • (2001) Computational Linguistics , vol.27 , Issue.4 , pp. 521-541
    • Soon, W.1    Ng, H.2    Lim, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.