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Volumn , Issue , 2008, Pages 2974-2980

Combining terminology resources and statistical methods for entity recognition: An evaluation

Author keywords

[No Author keywords available]

Indexed keywords

STATISTICAL METHODS;

EID: 85034105212     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (21)
  • 1
    • 33748431259 scopus 로고    scopus 로고
    • Automatic terminology management in biomedicine
    • S. Ananiadou and J. McNaught, editors, chapter 4, Artech House
    • S. Ananiadou and G. Nenadic. 2006. Automatic terminology management in biomedicine. In S. Ananiadou and J. McNaught, editors, Text Mining for Biology and Biomedicine, chapter 4, pages 67-97. Artech House.
    • (2006) Text Mining for Biology and Biomedicine , pp. 67-97
    • Ananiadou, S.1    Nenadic, G.2
  • 2
    • 47249132919 scopus 로고    scopus 로고
    • Technical report, U. S National Library of Medicine, Lister Hill National Center for Biomedical Communications, Cognitive Science Branch
    • A. Aronson. 2005. Filtering the umls metathesaurus for metamap. Technical report, U. S National Library of Medicine, Lister Hill National Center for Biomedical Communications, Cognitive Science Branch.
    • (2005) Filtering the Umls Metathesaurus for Metamap
    • Aronson, A.1
  • 5
    • 0036706214 scopus 로고    scopus 로고
    • Rutabaga by any other name: Extracting biological names
    • L. Hirschman, A. Morgan, and A. Yeh. 2002. Rutabaga by any other name: extracting biological names. Journal of Biomedical Informatics, 35(4):247-259.
    • (2002) Journal of Biomedical Informatics , vol.35 , Issue.4 , pp. 247-259
    • Hirschman, L.1    Morgan, A.2    Yeh, A.3
  • 11
    • 9544222527 scopus 로고    scopus 로고
    • Protein names precisely peeled off free text
    • S. Mika and B. Rost. 2004. Protein names precisely peeled off free text. Bioinformatics, 20(Supplement 1):i241-i247.
    • (2004) Bioinformatics , vol.20 , pp. i241-i247
    • Mika, S.1    Rost, B.2
  • 14
    • 41549130556 scopus 로고    scopus 로고
    • Named entity recognition
    • S. Ananiadou and J. McNaught, editors, chapter 6, Artech House
    • J. Park and J. Kim. 2006. Named entity recognition. In S. Ananiadou and J. McNaught, editors, Text Mining for Biology and Biomedicine, chapter 6, pages 121-142. Artech House.
    • (2006) Text Mining for Biology and Biomedicine , pp. 121-142
    • Park, J.1    Kim, J.2
  • 15
    • 0002353623 scopus 로고    scopus 로고
    • Detecting gene symbols and names in biological texts: A first step toward pertinent information extraction
    • D. Proux, F. Rechenmann, L. Julliard, V. Pillet, and B. Jacq. 1998. Detecting gene symbols and names in biological texts: a first step toward pertinent information extraction. Genome Informatics, 9:72-80.
    • (1998) Genome Informatics , vol.9 , pp. 72-80
    • Proux, D.1    Rechenmann, F.2    Julliard, L.3    Pillet, V.4    Jacq, B.5
  • 18
    • 21044431921 scopus 로고    scopus 로고
    • Word sense disambiguation in the biomedical domain: An overview
    • M. Schuemie, J. Kors, and B. Mons. 2005. Word sense disambiguation in the biomedical domain: An overview. Journal of Computational Biology, 12(5):554-565.
    • (2005) Journal of Computational Biology , vol.12 , Issue.5 , pp. 554-565
    • Schuemie, M.1    Kors, J.2    Mons, B.3
  • 20
    • 0036678776 scopus 로고    scopus 로고
    • Tagging gene and protein names in biomedical text
    • L. Tanabe and W. Wilbur. 2002. Tagging gene and protein names in biomedical text. Bioinformatics, 18(8):1124-1132.
    • (2002) Bioinformatics , vol.18 , Issue.8 , pp. 1124-1132
    • Tanabe, L.1    Wilbur, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.