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Volumn , Issue , 2011, Pages 114-121

Relevance prediction in information extraction using discourse and lexical features

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA MINING; INFORMATION USE;

EID: 84870547024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (16)
  • 1
    • 85119614666 scopus 로고    scopus 로고
    • Automatic content extraction. A. Bagga and A. W. Biermann. 1997. Analyzing the complexity of a domain with respect to an information extraction task
    • ACE
    • ACE. 2004. Automatic content extraction. A. Bagga and A. W. Biermann. 1997. Analyzing the complexity of a domain with respect to an information extraction task. In Proc. 10th Intl. Conf. on Research on Computational Linguistics (ROCLING X).
    • (2004) Proc. 10th Intl. Conf. on Research on Computational Linguistics (ROCLING X)
  • 5
    • 39649091877 scopus 로고    scopus 로고
    • HealthMap: Global infectious disease monitoring through automated classification and visualization of internet media reports
    • C.C. Freifeld, K.D. Mandl, B.Y. Reis, and J.S. Brownstein. 2008. HealthMap: Global infectious disease monitoring through automated classification and visualization of internet media reports. J. Am. Med. Inform. Assoc., 15(1).
    • (2008) J. Am. Med. Inform. Assoc , vol.15 , Issue.1
    • Freifeld, C.C.1    Mandl, K.D.2    Reis, B.Y.3    Brownstein, J.S.4
  • 7
    • 0036706221 scopus 로고    scopus 로고
    • Information extraction for enhanced access to disease outbreak reports
    • R. Grishman, S. Huttunen, and R. Yangarber. 2003. Information extraction for enhanced access to disease outbreak reports. J. of Biomed. Informatics, 35(4).
    • (2003) J. of Biomed. Informatics , vol.35 , Issue.4
    • Grishman, R.1    Huttunen, S.2    Yangarber, R.3
  • 12
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • MIT Press, Cambridge, MA, USA
    • John C. Platt. 1999. Fast training of support vector machines using sequential minimal optimization. In Advances in kernel methods: support vector learning. MIT Press, Cambridge, MA, USA.
    • (1999) Advances in kernel methods: support vector learning
    • Platt, John C.1
  • 14
    • 77954772099 scopus 로고    scopus 로고
    • Text mining from the web for medical intelligence
    • D. Perrotta, J. Piskorski, F. Soulié-Fogelman, and R. Steinberger, editors, OIS Press, Amsterdam, the Netherlands
    • R. Steinberger, F. Fuart, E. van der Goot, C. Best, P. von Etter, and R. Yangarber. 2008. Text mining from the web for medical intelligence. In D. Perrotta, J. Piskorski, F. Soulié-Fogelman, and R. Steinberger, editors, Mining Massive Data Sets for Security. OIS Press, Amsterdam, the Netherlands.
    • (2008) Mining Massive Data Sets for Security
    • Steinberger, R.1    Fuart, F.2    van der Goot, E.3    Best, C.4    von Etter, P.5    Yangarber, R.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.