메뉴 건너뛰기




Volumn , Issue , 2005, Pages 64-71

Biomedical named entity recognition system

Author keywords

Information Retrieval.; ME model; Named Entity Recognition

Indexed keywords

BIOMEDICAL NAMED ENTITY RECOGNITION; CLASS LABELS; F-SCORE; GENIA CORPUS; LEARNING APPROACH; LINGUISTIC FEATURES; MAXIMUM ENTROPY MODELS; NAMED ENTITY RECOGNITION; SEMANTIC CLASSIFICATION; STATE OF THE ART;

EID: 73149123269     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (10)

References (20)
  • 1
    • 0002670150 scopus 로고    scopus 로고
    • Extracting the names of genes and gene products with a hidden Markov model
    • N. Collier, C. Nobata, and J. Tsujii. Extracting the names of genes and gene products with a hidden Markov model. In Proceedings of COLING 2000, pp 201-207, 2000.
    • (2000) In Proceedings of COLING , pp. 201-207
    • Collier, N.1    Nobata, C.2    Tsujii, J.3
  • 2
    • 8444242136 scopus 로고    scopus 로고
    • Comparison of character-level and part of speech features for name recognition in biomedical texts
    • N. Collier, K. Takeuchi. Comparison of character-level and part of speech features for name recognition in biomedical texts. J Biom. Inform. 37. pp423-435. 2004.
    • (2004) J Biom. Inform , vol.37 , pp. 423-435
    • Collier, N.1    Takeuchi, K.2
  • 5
    • 0036706214 scopus 로고    scopus 로고
    • Rutabaga by any other name: extracting biological names
    • L. Hirschman, A.A. Morgan, and A.S. Yeh, Rutabaga by any other name: extracting biological names. J Biomed Inform, 2002. 35(4): p. 247-59.
    • (2002) J Biomed Inform , vol.35 , Issue.4 , pp. 247-59
    • Hirschman, L.1    Morgan, A.A.2    Yeh, A.S.3
  • 9
    • 8444234386 scopus 로고    scopus 로고
    • Effective Adaptation of a Hidden Markov Modelbased Named Entity Recognizer for Biomedical Domain
    • Proceedings of ACL 2003 Workshop on NLP in Biomedicine, Sapporo, Japan
    • D. Shen, J. Zhang, G. Zhou, S. Jian and L. Tan, Effective Adaptation of a Hidden Markov Modelbased Named Entity Recognizer for Biomedical Domain,Proceedings of ACL 2003 Workshop on NLP in Biomedicine, Sapporo, Japan, pp49-56, 2003.
    • (2003) , pp. 49-56
    • Shen, D.1    Zhang, J.2    Zhou, G.3    Jian, S.4    Tan, L.5
  • 10
    • 17244376942 scopus 로고    scopus 로고
    • Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets
    • B. Settles. Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets. In: Proceedings of the COLING 2004 NLPBA,. 2004, pp 104-108
    • (2004) In: Proceedings of the COLING 2004 NLPBA , pp. 104-108
    • Settles, B.1
  • 11
    • 84957794594 scopus 로고
    • Overview of the results of the MUC-6 evaluation
    • In: Proceedings of the Sixth Message Understanding Conference. Los Altos, CA: Morgan Kaufman
    • B. Sundheim Overview of the results of the MUC-6 evaluation. In: Proceedings of the Sixth Message Understanding Conference. Los Altos, CA: Morgan Kaufman; 1995. p. 13-31
    • (1995) , pp. 13-31
    • Sundheim, B.1
  • 12
    • 8444225478 scopus 로고    scopus 로고
    • Bio-medical Entity Extraction using Support Vector Machines
    • Sapporo, Japan
    • K. Takeuchi, and N. Collier. Bio-medical Entity Extraction using Support Vector Machines. Proceedings of NLP in Biomedicine, ACL 2003. Sapporo, Japan, pp 57-64
    • (2003) Proceedings of NLP in Biomedicine, ACL , pp. 57-64
    • Takeuchi, K.1    Collier, N.2
  • 13
    • 84872845003 scopus 로고    scopus 로고
    • Exploitation of linguistic features using a CRFbased biomedical named entity recognizer
    • To appear in ACL Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics, Detroit
    • Tsai, T.-H., Wu, S.-H., and Hsu, W.-L. (2005). Exploitation of linguistic features using a CRFbased biomedical named entity recognizer. To appear in ACL Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics, Detroit
    • (2005)
    • Tsai, T.-H.1    Wu, S.-H.2    Hsu, W.-L.3
  • 14
    • 84872875146 scopus 로고    scopus 로고
    • Developing a Robust Part-of-Speech Tagger for Biomedical Text, Proceedings of the 10th Panhellenic Conference on Informatics
    • Y. Tsuruoka, Y. Tateishi, . Kim, T. Ohta, J. McNaught, S. Ananiadou, and J. Tsujii, Developing a Robust Part-of-Speech Tagger for Biomedical Text, Proceedings of the 10th Panhellenic Conference on Informatics, 2005
    • (2005)
    • Tsuruoka, Y.1    Tateishi, Y.2    Kim, T.3    Ohta, J.4    McNaught, S.5    Tsujii, A.J.6
  • 16
    • 84885688759 scopus 로고    scopus 로고
    • Recognizing Names in Biomedical Texts using Hidden Markov Model and SVM plus Sigmoid
    • In: In: Proceedings of the COLING 2004 NLPBA, Geneva, Switzerland
    • G. Zhou, Recognizing Names in Biomedical Texts using Hidden Markov Model and SVM plus Sigmoid, In: In: Proceedings of the COLING 2004 NLPBA, Geneva, Switzerland. 2004.
    • (2004)
    • Zhou, G.1
  • 18
    • 0002458924 scopus 로고    scopus 로고
    • Automatic term identification and classification in biology texts
    • In Proc. of the 5th NLPRS
    • C. Nobata, N. Collier and J. Tsujii. Automatic term identification and classification in biology texts. In Proc. of the 5th NLPRS, pp 369-374. 1999.
    • (1999) , pp. 369-374
    • Nobata, C.1    Collier, N.2    Tsujii, J.3
  • 19
    • 0034707204 scopus 로고    scopus 로고
    • Using BLAST for identifying gene and protein names in journal articles
    • M. Krauthammer, Rzhetsky A, Morozov P, Friedman C. Using BLAST for identifying gene and protein names in journal articles. Gene 2000;259(1-2):245-52
    • (2000) Gene , vol.259 , Issue.1-2 , pp. 245-52
    • Krauthammer, M.1    Rzhetsky, A.2    Morozov, P.3    Friedman, C.4
  • 20
    • 4944229711 scopus 로고    scopus 로고
    • GENIA corpus - a semantically annotated corpus for bio-textmining
    • J. Kim, T. Ohta, Y. Teteisi, and J. Tsujii. GENIA corpus - a semantically annotated corpus for bio-textmining. Bioinformatics 19 (Suppl.1) 2003
    • (2003) Bioinformatics , vol.19 , Issue.SUPPL.1
    • Kim, J.1    Ohta, T.2    Teteisi, Y.3    Tsujii, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.