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Volumn , Issue , 2015, Pages 649-652

Biomedical named entity recognition based on extended Recurrent Neural Networks

Author keywords

bio NER; context information; hand designed features; recurrent neural network; word embedding

Indexed keywords

BIOINFORMATICS; COMPLEX NETWORKS; SEMANTICS;

EID: 84962374146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2015.7359761     Document Type: Conference Paper
Times cited : (66)

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    • Tang, B.1    Cao, H.2    Wang, X.3    Chen, Q.4    Xu, H.5
  • 2
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    • Biomedical named entity recognition using two-phase model based on SVMs
    • K. J. Lee. Y. S. Hwang. S. Kim. and H. C. Rim. "Biomedical named entity recognition using two-phase model based on SVMs " Journal of Biomedical Informatics 37.6 .2004. pp. 436-447.
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    • Saha, S.K.1    Sarkar, S.2    Mitra, P.3
  • 5
    • 34447291383 scopus 로고    scopus 로고
    • Rich features based conditional random fields for biological named entities recognition
    • C. Sun. Y. Guan. X. Wang. and L. Lin. "Rich features based Conditional Random Fields for biological named entities recognition ." Computers in Biology and Medicine37.9. 2007. pp. 1327-1333.
    • (2007) Computers in Biology and Medicine , vol.37 , Issue.9 , pp. 1327-1333
    • Sun, C.1    Guan, Y.2    Wang, X.3    Lin, L.4
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    • Finding structure in time
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    • Elman, J.L.1
  • 11
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    • Serial order: A parallel distributed processing approach
    • M. I. Jordan. "Serial order: A parallel distributed processing approach." Advances in psychology. 121. 1997. pp. 471-495 .
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    • Jordan, M.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.