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Volumn 1, Issue 4, 2007, Pages 441-457

Finding temporal structure in text: Machine learning of syntactic temporal relations

Author keywords

corpus annotation; machine learning; temporal relations; Timelines

Indexed keywords

LEARNING SYSTEMS; SUPPORT VECTOR MACHINES; SYNTACTICS;

EID: 79951473667     PISSN: 1793351X     EISSN: 17937108     Source Type: Journal    
DOI: 10.1142/S1793351X07000238     Document Type: Article
Times cited : (13)

References (15)
  • 4
    • 47749146046 scopus 로고    scopus 로고
    • Joint learning improves semantic role labeling
    • Kristina Toutanova, Aria Haghighi, and Christopher D. Manning, Joint learning improves semantic role labeling, in ACL 2005, 2005.
    • (2005) ACL , vol.2005
    • Toutanova, K.1    Haghighi, A.2    Manning, C.D.3
  • 9
    • 76649111875 scopus 로고    scopus 로고
    • TimeBank-driven TimeML analysis
    • Graham Katz, James Pustejovsky, and Frank Schilder, editors, Dagstuhl Seminars. German Research Foundation
    • Branimir Boguraev and Rie Kubota Ando, TimeBank-driven TimeML analysis, in Graham Katz, James Pustejovsky, and Frank Schilder, editors, Annotating, Extracting and Reasoning about Time and Events, Dagstuhl Seminars. German Research Foundation, 2005.
    • (2005) Annotating Extracting and Reasoning about Time and Events
    • Boguraev, B.1    Kubota Ando, R.2
  • 14
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The Penn TreeBank
    • Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz, Building a large annotated corpus of English: The Penn TreeBank, Computational Linguistics 19 (2) (1994) 313-330.
    • (1994) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.P.1    Santorini, B.2    Ann Marcinkiewicz, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.