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Volumn , Issue , 2009, Pages 15-22

Unsupervised Induction of Sentence Compression Rules

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85188737855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 85037066932 scopus 로고    scopus 로고
    • Learning to paraphrase: An unsupervised approach using multiple-sequence alignment
    • Barzilay R. and Lee L.. 2003. Learning to paraphrase: An unsupervised approach using multiple-sequence alignment. In HLT-NAACL 2003: Main Proceedings, pages 16-23.
    • (2003) HLT-NAACL 2003: Main Proceedings , pp. 16-23
    • Barzilay, R.1    Lee, L.2
  • 5
    • 84858054703 scopus 로고    scopus 로고
    • New Functions for Unsupervised Asymmetrical Paraphrase Detection
    • October Issue:, Page(s): Academy Publisher. Finland. ISSN: 1796-217X
    • Cordeiro J. and Dias G. and Brazdir P. October 2007. New Functions for Unsupervised Asymmetrical Paraphrase Detection. In Journal of Software., Volume:2, Issue:4, Page(s): 12-23. Academy Publisher. Finland. ISSN: 1796-217X.
    • (2007) Journal of Software , vol.2 , Issue.4 , pp. 12-23
    • Cordeiro, J.1    Dias, G.2    Brazdir, P.3
  • 7
    • 0036641584 scopus 로고    scopus 로고
    • Summarization beyond sentence extraction: A probabilistic approach to sentence compression
    • Knight K. and Marcu D. 2002. Summarization beyond sentence extraction: A probabilistic approach to sentence compression. Artificial Intelligence, 139(1):91-107.
    • (2002) Artificial Intelligence , vol.139 , Issue.1 , pp. 91-107
    • Knight, K.1    Marcu, D.2
  • 8
    • 0000640432 scopus 로고
    • Inductive Logic Programming
    • Muggleton S. 1991. Inductive Logic Programming. New Generation Computing, 8 (4):295-318.
    • (1991) New Generation Computing , vol.8 , Issue.4 , pp. 295-318
    • Muggleton, S.1
  • 10
    • 0002638178 scopus 로고    scopus 로고
    • Inductive logic programming: Issues, results and the challenge of learning language in logic
    • Muggleton S. 1999. Inductive logic programming: Issues, results and the challenge of learning language in logic. Artificial Intelligence, 114 (1-2), 283-296.
    • (1999) Artificial Intelligence , vol.114 , Issue.1-2 , pp. 283-296
    • Muggleton, S.1
  • 12
    • 0014757386 scopus 로고
    • A general method applicable to the search for similarities in the amino acid sequence of two proteins
    • Needleman SB, Wunsch CD. 1970. A general method applicable to the search for similarities in the amino acid sequence of two proteins. Journal of Molecular Biology, 48 (3): 443-53.
    • (1970) Journal of Molecular Biology , vol.48 , Issue.3 , pp. 443-453
    • Needleman, SB1    Wunsch, CD.2
  • 13
    • 0001172265 scopus 로고
    • Learning Logical Deinitions from Relations
    • 33, 39, 41
    • Quinlan J. R. 1990. Learning Logical Deinitions from Relations. Machine Learning., 5 (3), 239-266. 33, 39, 41.
    • (1990) Machine Learning , vol.5 , Issue.3 , pp. 239-266
    • Quinlan, J. R.1
  • 14
    • 0019887799 scopus 로고
    • Identification of Common Molecular Subsequences
    • Smith TF, Waterman MS. 1981. Identification of Common Molecular Subsequences. Journal of Molecular Biology, 147: 195-197.
    • (1981) Journal of Molecular Biology , vol.147 , pp. 195-197
    • Smith, TF1    Waterman, MS.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.