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Volumn 2, Issue , 2012, Pages 70-74

Learning to temporally order medical events in clinical text

Author keywords

[No Author keywords available]

Indexed keywords

DATA REPRESENTATIONS; LEARNING TO RANK; TEMPORAL ORDERING; TEMPORAL RELATION; TIME DURATION;

EID: 84878198022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (15)
  • 1
    • 0019646082 scopus 로고
    • An interval-based representation of temporal knowledge
    • James F. Allen. 1981. An interval-based representation of temporal knowledge. In IJCAI, pages 221-226.
    • (1981) IJCAI , pp. 221-226
    • Allen, J.F.1
  • 2
    • 0345863927 scopus 로고    scopus 로고
    • The unified medical language system (UMLS): Integrating biomedical terminology
    • Olivier Bodenreider. 2004. The unified medical language system (umls): integrating biomedical terminology. Nucleic Acids Research, 32(suppl 1):D267- D270.
    • (2004) Nucleic Acids Research , vol.32 , Issue.SUPPL. 1
    • Bodenreider, O.1
  • 3
    • 85093729245 scopus 로고    scopus 로고
    • Classifying temporal relations between events
    • Nathanael Chambers, Shan Wang, and Daniel Jurafsky. 2007. Classifying temporal relations between events. In ACL.
    • (2007) ACL
    • Chambers, N.1    Wang, S.2    Jurafsky, D.3
  • 4
    • 0001059534 scopus 로고
    • Integration and generalization of kappas for multiple raters
    • A.J. Conger. 1980. Integration and generalization of kappas for multiple raters. In Psychological Bulletin Vol 88(2), pages 322-328.
    • (1980) Psychological Bulletin , vol.88 , Issue.2 , pp. 322-328
    • Conger, A.J.1
  • 5
    • 67650083592 scopus 로고    scopus 로고
    • Learning to rank for information retrieval (LR4IR 2007)
    • Thorsten Joachims, Hang Li, Tie-Yan Liu, and Cheng Xiang Zhai. 2007. Learning to rank for information retrieval (lr4ir 2007). SIGIR Forum, 41(2):58-62.
    • (2007) SIGIR Forum , vol.41 , Issue.2 , pp. 58-62
    • Joachims, T.1    Li, H.2    Liu, T.-Y.3    Zhai, C.X.4
  • 6
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • Bernhard Scḧolkopf, Christopher John C. Burges, and Alexander J. Smola, editors, MIT Press
    • Thorsten Joachims. 1999. Making large-scale SVM learning practical. In Bernhard Scḧolkopf, Christopher John C. Burges, and Alexander J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 169-184. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 169-184
    • Joachims, T.1
  • 7
    • 33749563073 scopus 로고    scopus 로고
    • Training linear SVMS in linear time
    • Thorsten Joachims. 2006. Training linear SVMs in linear time. In KDD, pages 217-226.
    • (2006) KDD , pp. 217-226
    • Joachims, T.1
  • 8
    • 84878203379 scopus 로고    scopus 로고
    • Learning sentence-internal temporal relations
    • abs/1110.1394
    • Mirella Lapata and Alex Lascarides. 2011. Learning sentence-internal temporal relations. CoRR, abs/1110.1394.
    • (2011) CORR
    • Lapata, M.1    Lascarides, A.2
  • 14
    • 33847640080 scopus 로고    scopus 로고
    • Temporal reasoning with medical data - A review with emphasis on medical natural language processing
    • Li Zhou and George Hripcsak. 2007. Temporal reasoning with medical data - a review with emphasis on medical natural language processing. Journal of Biomedical Informatics, pages 183-202.
    • (2007) Journal of Biomedical Informatics , pp. 183-202
    • Zhou, L.1    Hripcsak, G.2
  • 15
    • 33745845169 scopus 로고    scopus 로고
    • A temporal constraint structure for extracting temporal information from clinical narrative
    • Li Zhou, Genevieve B. Melton, Simon Parsons, and George Hripcsak. 2006. A temporal constraint structure for extracting temporal information from clinical narrative. Journal of Biomedical Informatics, pages 424-439.
    • (2006) Journal of Biomedical Informatics , pp. 424-439
    • Zhou, L.1    Melton, G.B.2    Parsons, S.3    Hripcsak, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.