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Volumn , Issue , 2005, Pages 9-16

Adaptive string similarity metrics for biomedical reference resolution

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 35748935382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (21)
  • 8
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden markove models: Theory and experiments with perceptron algorithms
    • Michael Collins. 2002. Discriminative training methods for hidden markove models: Theory and experiments with perceptron algorithms. In EMNLP 2002.
    • (2002) EMNLP 2002
    • Collins, Michael1
  • 9
    • 0036357862 scopus 로고    scopus 로고
    • Automatic extraction of gene and protein synonyms from medline and journal articles
    • Yu H, Hatzivassiloglou V, Friedman C, Rzhetsky A, and Wilbur W. 2002. Automatic extraction of gene and protein synonyms from medline and journal articles. In Proc AMIA Symposium, pages 919-23.
    • (2002) Proc AMIA Symposium , pp. 919-923
    • Yu, H1    Hatzivassiloglou, V2    Friedman, C3    Rzhetsky, A4    Wilbur, W.5
  • 10
    • 33644857112 scopus 로고    scopus 로고
    • Bioar: Anaphora resolution for relating protein names to proteome database entries
    • Sanda Harabagiu and David Farwell, editors, pages Barcelona, Spain, July. Association for Computational Linguistics
    • Jung-Jae Kim and Jong C. Park. 2004. Bioar: Anaphora resolution for relating protein names to proteome database entries. In Sanda Harabagiu and David Farwell, editors, ACL 2004: Workshop on Reference Resolution and its Applications, pages 79-86, Barcelona, Spain, July. Association for Computational Linguistics.
    • (2004) ACL 2004: Workshop on Reference Resolution and its Applications , pp. 79-86
    • Kim, Jung-Jae1    Park, Jong C.2
  • 11
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Morgan Kaufmann, San Francisco, CA
    • John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. 18th International Conf. on Machine Learning, pages 282-289. Morgan Kaufmann, San Francisco, CA.
    • (2001) Proc. 18th International Conf. on Machine Learning , pp. 282-289
    • Lafferty, John1    McCallum, Andrew2    Pereira, Fernando3
  • 12
    • 17244368453 scopus 로고    scopus 로고
    • Semantic integration in text: From ambiguous names to identifiable entities
    • Special on Semantic Integration
    • X. Li, P. Morie, and D. Roth. 2005. Semantic integration in text: From ambiguous names to identifiable entities. AI Magazine. Special Issue on Semantic Integration.
    • (2005) AI Magazine
    • Li, X.1    Morie, P.2    Roth, D.3
  • 16
    • 85149131856 scopus 로고    scopus 로고
    • Applying co-training to reference resolution
    • Christoph Müller, Stefan Rapp, and Michael Strube. 2002. Applying co-training to reference resolution. In ACL, pages 352-359.
    • (2002) ACL , pp. 352-359
    • Müller, Christoph1    Rapp, Stefan2    Strube, Michael3
  • 19
    • 8444245919 scopus 로고    scopus 로고
    • Using name-internal and contextual features to classify biological terms
    • M. Torii, S. Kamboj, and K. Vijay-Shanker. 2004. Using name-internal and contextual features to classify biological terms. Journal of Biomedical Informatics, pages 498-511.
    • (2004) Journal of Biomedical Informatics , pp. 498-511
    • Torii, M.1    Kamboj, S.2    Vijay-Shanker, K.3
  • 21
    • 1242349373 scopus 로고    scopus 로고
    • Extracting synonymous gene and protein terms from biological literature
    • H. Yu and E. Agichtein. 2003. Extracting synonymous gene and protein terms from biological literature. Bioinformatics, pages 340-349.
    • (2003) Bioinformatics , pp. 340-349
    • Yu, H.1    Agichtein, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.