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Volumn , Issue , 2005, Pages 1-8

Weakly supervised learning methods for improving the quality of gene name normalization data

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84860504121     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 3
    • 0345570094 scopus 로고    scopus 로고
    • Scaling to very very large corpora for natural language disambiguation
    • Banko, M. and E. Brill. Scaling to very very large corpora for natural language disambiguation. in ACL/EACL. 2001.
    • (2001) ACL/EACL
    • Banko, M.1    Brill, E.2
  • 5
    • 33947321307 scopus 로고    scopus 로고
    • Overview of BioCreAtIvE task 1B: Normalized Gene Lists
    • (Special on BioCreAtIvE)
    • Hirschman, L., et al., Overview of BioCreAtIvE task 1B: Normalized Gene Lists. BioMed Central BioInformatics, 2005(Special Issue on BioCreAtIvE).
    • (2005) BioMed Central BioInformatics
    • Hirschman, L.1
  • 8
    • 8444240427 scopus 로고    scopus 로고
    • Gene name identification and normalization using a model organism database
    • Morgan, A.A., et al., Gene name identification and normalization using a model organism database. J Biomed Inform, 2004. 37(6): p. 396-410.
    • (2004) J Biomed Inform , vol.37 , Issue.6 , pp. 396-410
    • Morgan, A.A.1
  • 10
    • 4944229711 scopus 로고    scopus 로고
    • GENIA Corpus - a semantically annotated corpus for bio-text mining
    • ((Supppl 1))
    • Kim, J.-D., et al., GENIA Corpus - a semantically annotated corpus for bio-text mining. Bioinformatics, 2003. 19((Supppl 1)): p. 180-182.
    • (2003) Bioinformatics , vol.19 , pp. 180-182
    • Kim, J.-D.1
  • 11
    • 0142192295 scopus 로고    scopus 로고
    • Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
    • San Francisco, CA: Morgan Kaufmann
    • Lafferty, J., A. McCallum, and F. Pereira. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. in 18th International Conf. on Machine Learning. 2001. San Francisco, CA: Morgan Kaufmann.
    • (2001) 18th International Conf. on Machine Learning
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 13
    • 84908242291 scopus 로고    scopus 로고
    • Properties and Benefits of Calibrated Classifiers
    • Pisa, Italy
    • Cohen, I. and M. Goldszmidt. Properties and Benefits of Calibrated Classifiers. in EMCL/PKDD. 2004. Pisa, Italy.
    • (2004) EMCL/PKDD
    • Cohen, I.1    Goldszmidt, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.