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Volumn , Issue , 2010, Pages 9-17

Viterbi training improves unsupervised dependency parsing

Author keywords

[No Author keywords available]

Indexed keywords

DEPENDENCY MODEL; DEPENDENCY PARSING; GRAMMAR INDUCTION; STATE-OF-THE-ART PERFORMANCE; VITERBI; WALL STREET JOURNAL;

EID: 84862302923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (68)

References (30)
  • 2
    • 0030353367 scopus 로고    scopus 로고
    • Head automata for speech translation
    • H. Alshawi. 1996. Head automata for speech translation. In Proc. of ICSLP.
    • (1996) Proc. of ICSLP
    • Alshawi, H.1
  • 7
    • 0038411764 scopus 로고    scopus 로고
    • The rational analysis of inquiry: The case of parsing
    • M. Oaksford and N. Chater, editors, Oxford University Press
    • N. Chater, M. J. Crocker, and M. J. Pickering. 1998. The rational analysis of inquiry: The case of parsing. In M. Oaksford and N. Chater, editors, Rational Models of Cognition. Oxford University Press.
    • (1998) Rational Models of Cognition
    • Chater, N.1    Crocker, M.J.2    Pickering, M.J.3
  • 8
    • 85123806242 scopus 로고    scopus 로고
    • Bootstrapping POS-taggers using unlabelled data
    • S. Clark, J. Curran, and M. Osborne. 2003. Bootstrapping POS-taggers using unlabelled data. In Proc. of CoNLL.
    • (2003) Proc. of CoNLL
    • Clark, S.1    Curran, J.2    Osborne, M.3
  • 9
    • 84858398441 scopus 로고    scopus 로고
    • Shared logistic normal distributions for soft parameter tying in unsupervised grammar induction
    • S.B.Cohen and N. A. Smith. 2009. Shared logistic normal distributions for soft parameter tying in unsupervised grammar induction. In Proc. of NAACL-HLT.
    • (2009) Proc. of NAACL-HLT
    • Cohen, S.B.1    Smith, N.A.2
  • 10
    • 84859976571 scopus 로고    scopus 로고
    • Viterbi training for PCFGs: Hardness results and competitiveness of uniform initialization
    • S.B.Cohen and N. A. Smith. 2010. Viterbi training for PCFGs: Hardness results and competitiveness of uniform initialization. In Proc. of ACL.
    • (2010) Proc. of ACL
    • Cohen, S.B.1    Smith, N.A.2
  • 13
    • 84874201872 scopus 로고
    • Lexical heads, phrase structure and the induction of grammar
    • C.de Marcken. 1995. Lexical heads, phrase structure and the induction of grammar. In WVLC.
    • (1995) WVLC
    • de Marcken, C.1
  • 14
    • 84858394602 scopus 로고
    • Does Baum-Welch re-estimation help taggers?
    • D.Elworthy. 1994. Does Baum-Welch re-estimation help taggers? In Proc. of ANLP.
    • (1994) Proc. of ANLP
    • Elworthy, D.1
  • 17
    • 84863408489 scopus 로고    scopus 로고
    • Improving unsupervised dependency parsing with richer contexts and smoothing
    • W.P. Headden, III, M. Johnson, and D. McClosky. 2009. Improving unsupervised dependency parsing with richer contexts and smoothing. In Proc. of NAACL-HLT.
    • (2009) Proc. of NAACL-HLT
    • Headden, W.P.1    Johnson, M.2    McClosky, D.3
  • 18
    • 0030117215 scopus 로고    scopus 로고
    • A probabilistic model of lexical and syntactic access and disambiguation
    • D. Jurafsky. 1996. A probabilistic model of lexical and syntactic access and disambiguation. Cognitive Science, 20.
    • (1996) Cognitive Science , pp. 20
    • Jurafsky, D.1
  • 19
    • 29344466697 scopus 로고    scopus 로고
    • Corpus-based induction of syntactic structure: Models of dependency and constituency
    • D. Klein and C.D. Manning. 2004. Corpus-based induction of syntactic structure: Models of dependency and constituency. In Proc. of ACL.
    • (2004) Proc. of ACL
    • Klein, D.1    Manning, C.D.2
  • 20
    • 21244438628 scopus 로고    scopus 로고
    • An activation-based model of sentence processing as skilled memory retrieval
    • R. L. Lewis and S. Vasishth. 2005. An activation-based model of sentence processing as skilled memory retrieval. Cognitive Science, 29.
    • (2005) Cognitive Science , pp. 29
    • Lewis, R.L.1    Vasishth, S.2
  • 21
    • 84862295871 scopus 로고    scopus 로고
    • Analyzing the errors of unsu-pervised learning
    • P. Liang and D. Klein. 2008. Analyzing the errors of unsu-pervised learning. In Proc. of HLT-ACL.
    • (2008) Proc. of HLT-ACL
    • Liang, P.1    Klein, D.2
  • 25
    • 84867119745 scopus 로고
    • Tagging English text with a probabilistic model
    • B. Merialdo. 1994. Tagging English text with a probabilistic model. Computational Linguistics, 20(2).
    • (1994) Computational Linguistics , vol.20 , Issue.2
    • Merialdo, B.1
  • 26
    • 85094067550 scopus 로고    scopus 로고
    • Weakly supervised natural language learning without redundant views
    • V. Ng and C. Cardie. 2003. Weakly supervised natural language learning without redundant views. In Proc. of HLT-NAACL.
    • (2003) Proc. of HLT-NAACL
    • Ng, V.1    Cardie, C.2
  • 27
    • 85059598488 scopus 로고
    • Inside-outside reestimation from partially bracketed corpora
    • F. Pereira and Y. Schabes. 1992. Inside-outside reestimation from partially bracketed corpora. In Proc. of ACL.
    • (1992) Proc. of ACL
    • Pereira, F.1    Schabes, Y.2
  • 29
    • 84859941983 scopus 로고    scopus 로고
    • Profiting from mark-up: Hyper-text annotations for guided parsing
    • V. I. Spitkovsky, D. Jurafsky, and H. Alshawi. 2010. Profiting from mark-up: Hyper-text annotations for guided parsing. In Proc. of ACL.
    • (2010) Proc. of ACL
    • Spitkovsky, V.I.1    Jurafsky, D.2    Alshawi, H.3
  • 30
    • 33748685798 scopus 로고    scopus 로고
    • Estimating the "wrong" graphical model: Benefits in the computation-limited setting
    • M. J. Wainwright. 2006. Estimating the "wrong" graphical model: Benefits in the computation-limited setting. Journal of Machine Learning Research, 7.
    • (2006) Journal of Machine Learning Research , pp. 7
    • Wainwright, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.