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Volumn , Issue , 2012, Pages 577-581

Concavity and initialization for unsupervised dependency parsing

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY GRAMMAR; DEPENDENCY MODEL; GRAMMAR INDUCTION; IBM MODELS; INITIALIZERS; LINGUISTIC KNOWLEDGE; LOG-LIKELIHOOD FUNCTIONS; PROPERTY; UNSUPERVISED DEPENDENCY PARSING; WORD ALIGNMENT;

EID: 84903468764     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (20)
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  • 3
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  • 5
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    • Buchholz, S.1    Marsi, E.2
  • 6
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    • Shared logistic normal distributions for soft parameter tying in unsupervised grammar induction
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    • Cohen, S.1    Smith, N.A.2
  • 9
    • 84859881696 scopus 로고    scopus 로고
    • EM can find pretty good hmm pos-taggers (when given a good start)
    • Y. Goldberg, M. Adler, and M. Elhadad. 2008. EM can find pretty good HMM POS-taggers (when given a good start). In Proc. of ACL.
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    • Goldberg, Y.1    Adler, M.2    Elhadad, M.3
  • 10
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    • Headden, W.1    Johnson, M.2    McClosky, D.3
  • 11
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    • D. Klein and C. D. Manning. 2004. Corpus-based induction of syntactic structure: Models of dependency and constituency. In Proc. of ACL.
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    • Klein, D.1    Manning, C.D.2
  • 12
    • 0002532056 scopus 로고
    • The estimation of stochastic context-free grammars using the inside-outside algorithm
    • K. Lari and S. J. Young. 1990. The estimation of stochastic context-free grammars using the inside-outside algorithm. Computer Speech and Language, 4:35-56.
    • (1990) Computer Speech and Language , vol.4 , pp. 35-56
    • Lari, K.1    Young, S.J.2
  • 14
    • 80053240894 scopus 로고    scopus 로고
    • Using universal linguistic knowledge to guide grammar induction
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  • 17
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  • 19
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.