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Volumn 1391, Issue , 2015, Pages

CLEF eHealth evaluation lab 2015 task 1b: Clinical named entity recognition

Author keywords

Biomedical text; Concept normalization; French; Information extraction; Named entity recognition; Natural language processing; UMLS

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; LABORATORIES; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EID: 84982843908     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (21)
  • 7
    • 80053240828 scopus 로고    scopus 로고
    • Overcoming barriers to NLP for clinical text: The role of shared tasks and the need for additional creative solutions
    • Sep-Oct;
    • Chapman WW, Nadkarni PM, Hirschman L, D'Avolio LW, Savova GK, Uzuner O. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions. J Am Med Inform Assoc. 2011 Sep-Oct;18(5):5403.
    • (2011) J Am Med Inform Assoc. , vol.18 , Issue.5 , pp. 5403
    • Chapman, W.W.1    Nadkarni, P.M.2    Hirschman, L.3    D'Avolio, L.W.4    Savova, G.K.5    Uzuner, O.6
  • 8
    • 84960109752 scopus 로고    scopus 로고
    • Community challenges in biomedical text mining over 10 years: Success failure and the future
    • May 1
    • Huang CC, Lu Z. Community challenges in biomedical text mining over 10 years: success, failure and the future. Brief Bioinform. 2015 May 1. pii: bbv024.
    • (2015) Brief Bioinform. , pp. bbv024
    • Huang, C.C.1    Lu, Z.2
  • 12
  • 17
    • 85056864783 scopus 로고    scopus 로고
    • WI-ENRE in CLEF eHealth evaluation lab 2015: Clinical named entity recognition based on CRF
    • CEUR-WS
    • Jingchi Jiang, Yi Guan and Chao Zhao (2015) WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF. CLEF 2015 Online Working Notes. CEUR-WS.
    • (2015) CLEF 2015 Online Working Notes
    • Jiang, J.1    Guan, Y.2    Zhao, C.3
  • 18
    • 84982806490 scopus 로고    scopus 로고
    • IHS-RD-Belarus: Clinical named entities identification in French medical texts
    • CEUR-WS
    • Maryna Chernyshevich and Vadim Stankevitch (2015) IHS-RD-BELARUS: Clinical Named Entities Identification in French Medical Texts. CLEF 2015 Online Working Notes. CEUR-WS.
    • (2015) CLEF 2015 Online Working Notes
    • Chernyshevich, M.1    Stankevitch, V.2
  • 20
    • 84982864611 scopus 로고    scopus 로고
    • Semantic tagging of French medical entities using distant learning
    • CEUR-WS
    • Jorge Vivaldi, Horacio Rodriguez and Viviana Cotik (2015) Semantic tagging of French medical entities using distant learning. CLEF 2015 Online Working Notes. CEUR-WS.
    • (2015) CLEF 2015 Online Working Notes
    • Vivaldi, J.1    Rodriguez, H.2    Cotik, V.3
  • 21
    • 84982849612 scopus 로고    scopus 로고
    • Supervised named entity recognition for clinical data
    • CEUR-WS
    • Devanshu Jain (2015) Supervised Named Entity Recognition for Clinical Data. CLEF 2015 Online Working Notes. CEUR-WS.
    • (2015) CLEF 2015 Online Working Notes
    • Jain, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.