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Volumn , Issue , 2009, Pages 905-913

Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information

Author keywords

[No Author keywords available]

Indexed keywords

CASE BASED REASONING; COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS;

EID: 79951763109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (22)
  • 1
    • 1542505235 scopus 로고    scopus 로고
    • SaRAD: A simple and robust abbreviation dictionary
    • Eytan Adar. 2004. SaRAD: A simple and robust abbreviation dictionary. Bioinformatics, 20(4):527–533.
    • (2004) Bioinformatics , vol.20 , Issue.4 , pp. 527-533
    • Adar, Eytan1
  • 4
    • 46849107646 scopus 로고
    • A study of methods for systematically abbreviating english words and names
    • Charles P. Bourne and Donald F. Ford. 1961. A study of methods for systematically abbreviating english words and names. Journal of the ACM, 8(4):538–552.
    • (1961) Journal of the ACM , vol.8 , Issue.4 , pp. 538-552
    • Bourne, Charles P.1    Ford, Donald F.2
  • 5
    • 33751072002 scopus 로고    scopus 로고
    • Abbreviations in biomedical text
    • Sophia Ananiadou and John McNaught, editors, pages Artech House, Inc
    • Jeffrey T. Chang and Hinrich Schütze. 2006. Abbreviations in biomedical text. In Sophia Ananiadou and John McNaught, editors, Text Mining for Biology and Biomedicine, pages 99–119. Artech House, Inc.
    • (2006) Text Mining for Biology and Biomedicine , pp. 99-119
    • Chang, Jeffrey T.1    Schütze, Hinrich2
  • 12
    • 85149144861 scopus 로고    scopus 로고
    • Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts
    • Serguei Pakhomov. 2002. Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts. In Proceedings of ACL’02, pages 160–167.
    • (2002) Proceedings of ACL’02 , pp. 160-167
    • Pakhomov, Serguei1
  • 13
    • 85039499174 scopus 로고    scopus 로고
    • Hybrid text mining for finding abbreviations and their definitions
    • Youngja Park and Roy J. Byrd. 2001. Hybrid text mining for finding abbreviations and their definitions. In Proceedings of EMNLP’01, pages 126–133.
    • (2001) Proceedings of EMNLP’01 , pp. 126-133
    • Park, Youngja1    Byrd, Roy J.2
  • 15
    • 85162020178 scopus 로고    scopus 로고
    • Discriminative log-linear grammars with latent variables
    • Slav Petrov and Dan Klein. 2008. Discriminative log-linear grammars with latent variables. Proceedings of NIPS’08.
    • (2008) Proceedings of NIPS’08
    • Petrov, Slav1    Klein, Dan2
  • 18
    • 49449118515 scopus 로고    scopus 로고
    • Predicting chinese abbreviations from definitions: An empirical learning approach using support vector regression
    • Xu Sun, Houfeng Wang, and Bo Wang. 2008. Predicting chinese abbreviations from definitions: An empirical learning approach using support vector regression. Journal of Computer Science and Technology, 23(4):602–611.
    • (2008) Journal of Computer Science and Technology , vol.23 , Issue.4 , pp. 602-611
    • Sun, Xu1    Wang, Houfeng2    Wang, Bo3
  • 21
    • 0036453949 scopus 로고    scopus 로고
    • Heuristics for identification of acronym-definition patterns within text: towards an automated construction of comprehensive acronym-definition dictionaries
    • Jonathan D. Wren and Harold R. Garner. 2002. Heuristics for identification of acronym-definition patterns within text: towards an automated construction of comprehensive acronym-definition dictionaries. Methods of Information in Medicine, 41(5):426–434.
    • (2002) Methods of Information in Medicine , vol.41 , Issue.5 , pp. 426-434
    • Wren, Jonathan D.1    Garner, Harold R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.