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Volumn 1, Issue , 2013, Pages 281-290

Stop-probability estimates computed on a large corpus improve unsupervised dependency parsing

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY MODEL; DEPENDENCY PARSER; LARGE CORPORA; PRIOR KNOWLEDGE; TREEBANKS; UNSUPERVISED DEPENDENCY PARSING;

EID: 84899972158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (30)
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    • Phil Blunsom and Trevor Cohn. 2010. Unsupervised induction of tree substitution grammars for dependency parsing. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP'10, pages 1204-1213, Stroudsburg, PA, USA. Association for Computational Linguistics.
    • (2010) Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP'10 , pp. 1204-1213
    • Blunsom, P.1    Cohn, T.2
  • 7
    • 0000666661 scopus 로고
    • On the shortest arborescence of a directed graph
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    • (1965) Science Sinica , vol.14 , pp. 1396-1400
    • Chu, Y.J.1    Liu, T.H.2
  • 8
    • 79551491348 scopus 로고    scopus 로고
    • Logistic normal priors for unsupervised probabilistic grammar induction
    • Shay B. Cohen, Kevin Gimpel, and Noah A. Smith. 2008. Logistic normal priors for unsupervised probabilistic grammar induction. In Neural Information Processing Systems, pages 321-328.
    • (2008) Neural Information Processing Systems , pp. 321-328
    • Cohen, S.B.1    Gimpel, K.2    Smith, N.A.3
  • 13
    • 77956890234 scopus 로고
    • Monte carlo sampling methods using markov chains and their applications
    • W. Keith Hastings. 1970. Monte carlo sampling methods using markov chains and their applications. Biometrika, 57(1): pp. 97-109.
    • (1970) Biometrika , vol.57 , Issue.1 , pp. 97-109
    • Hastings, W.K.1
  • 15
    • 29344466697 scopus 로고    scopus 로고
    • Corpusbased induction of syntactic structure: Models of dependency and constituency
    • Stroudsburg, PA, USA. Association for Computational Linguistics
    • Dan Klein and Christopher D. Manning. 2004. Corpusbased induction of syntactic structure: models of dependency and constituency. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, ACL'04, Stroudsburg, PA, USA. Association for Computational Linguistics.
    • (2004) Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, ACL'04
    • Klein, D.1    Manning, C.D.2
  • 16
    • 0036641584 scopus 로고    scopus 로고
    • Summarization beyond sentence extraction: A probabilistic approach to sentence compression
    • July
    • Kevin Knight and Daniel Marcu. 2002. Summarization beyond sentence extraction: a probabilistic approach to sentence compression. Artif. Intell., 139(1):91-107, July.
    • (2002) Artif. Intell. , vol.139 , Issue.1 , pp. 91-107
    • Knight, K.1    Marcu, D.2
  • 17
    • 84899792858 scopus 로고    scopus 로고
    • Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers
    • Sandra Kübler, Ryan T. McDonald, and Joakim Nivre. 2009. Dependency Parsing. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers.
    • (2009) Dependency Parsing
    • Kübler, S.1    McDonald, R.T.2    Nivre, J.3
  • 24
    • 84907313313 scopus 로고    scopus 로고
    • Fast unsupervised dependency parsing with arc-standard transitions
    • Mohammad Sadegh Rasooli and Heshaam Faili. 2012. Fast unsupervised dependency parsing with arc-standard transitions. In Proceedings of ROBUS-UNSUP, pages 1-9.
    • (2012) Proceedings of ROBUS-UNSUP , pp. 1-9
    • Rasooli, M.S.1    Faili, H.2
  • 26
    • 84883286938 scopus 로고    scopus 로고
    • From ranked words to dependency trees: Two-stage unsupervised non-projective dependency parsing
    • Stroudsburg, PA, USA. Association for Computational Linguistics
    • Anders Søgaard. 2011. From ranked words to dependency trees: two-stage unsupervised non-projective dependency parsing. In Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing, TextGraphs-6, pages 60-68, Stroudsburg, PA, USA. Association for Computational Linguistics.
    • (2011) Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing, TextGraphs-6 , pp. 60-68
    • Søgaard, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.