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Volumn 3886 LNBI, Issue , 2006, Pages 53-67

Recognizing biomedical named entities using SVMs: Improving recognition performance with a minimal set of features

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; DATA REDUCTION; FEATURE EXTRACTION; MOLECULAR BIOLOGY; MORPHOLOGY;

EID: 33745615383     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11683568_5     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 6
    • 8444242136 scopus 로고    scopus 로고
    • Comparison of Character-level and part of speech features for name recognition in biomedical texts
    • Collier N., Takeuchi K.: Comparison of Character-level and part of speech features for name recognition in biomedical texts. Journal of Biomedical Informatics 37 (2004) 423-435
    • (2004) Journal of Biomedical Informatics , vol.37 , pp. 423-435
    • Collier, N.1    Takeuchi, K.2
  • 7
    • 2442702846 scopus 로고    scopus 로고
    • Recognizing Names in biomedical texts: A machine learning approach
    • Zhou G., Zhang J., Su J., Shen D., Tan C.: Recognizing Names in biomedical texts: a machine learning approach. Bioinformatics (2003) 1178-1190
    • (2003) Bioinformatics , pp. 1178-1190
    • Zhou, G.1    Zhang, J.2    Su, J.3    Shen, D.4    Tan, C.5
  • 8
    • 85123754485 scopus 로고    scopus 로고
    • Named entity recognition using hundreds or thousands of features
    • Edmonton, Canada
    • Mayfield J., McNamee P., Piatko C.: Named Entity Recognition using Hundreds or Thousands of Features. Proceedings of CoNLL-2003. Edmonton, Canada (2003) 184-187
    • (2003) Proceedings of CoNLL-2003 , pp. 184-187
    • Mayfield, J.1    McNamee, P.2    Piatko, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.