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Volumn , Issue , 2012, Pages 409-419

Spectral learning for non-deterministic dependency parsing

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT FREE GRAMMARS; LINGUISTICS;

EID: 84988558923     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (27)
  • 1
    • 84867133071 scopus 로고    scopus 로고
    • Quadratic weighted automata: Spectral algorithm and likelihood maximization
    • Raphael Bailly. 2011. Quadratic weighted automata: Spectral algorithm and likelihood maximization. JMLR Workshop and Conference Proceedings - ACML.
    • (2011) JMLR Workshop and Conference Proceedings - ACML
    • Bailly, R.1
  • 4
    • 80053358560 scopus 로고    scopus 로고
    • Experiments with a higherorder projective dependency parser
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • Xavier Carreras. 2007. Experiments with a higherorder projective dependency parser. In Proceedings of the CoNLL Shared Task Session of EMNLP CONLL 2007, pages 957-961, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the CoNLL Shared Task Session of EMNLP CONLL 2007 , pp. 957-961
    • Carreras, X.1
  • 9
    • 84878196193 scopus 로고    scopus 로고
    • Favor short dependencies: Parsing with soft and hard constraints on dependency length
    • Harry Bunt, Paola Merlo, and Joakim Nivre, editors, chapter 8, Springer
    • Jason Eisner and Noah A. Smith. 2010. Favor short dependencies: Parsing with soft and hard constraints on dependency length. In Harry Bunt, Paola Merlo, and Joakim Nivre, editors, Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing, chapter 8, pages 121-150. Springer.
    • (2010) Trends in Parsing Technology: Dependency Parsing, Domain Adaptation, and Deep Parsing , pp. 121-150
    • Eisner, J.1    Smith, N.A.2
  • 10
    • 0042357353 scopus 로고    scopus 로고
    • Bilexical grammars and their cubic-Time parsing algorithms
    • Harry Bunt and Anton Nijholt, editors, Kluwer Academic Publishers, October
    • Jason Eisner. 2000. Bilexical grammars and their cubic-Time parsing algorithms. In Harry Bunt and Anton Nijholt, editors, Advances in Probabilistic and Other Parsing Technologies, pages 29-62. Kluwer Academic Publishers, October.
    • (2000) Advances in Probabilistic and other Parsing Technologies , pp. 29-62
    • Eisner, J.1
  • 21
    • 84859918636 scopus 로고    scopus 로고
    • Unlexicalised hidden variable models of split dependency grammars
    • Columbus, Ohio, June. Association for Computational Linguistics
    • Gabriele Antonio Musillo and Paola Merlo. 2008. Unlexicalised hidden variable models of split dependency grammars. In Proceedings of ACL-08: HLT, Short Papers, pages 213-216, Columbus, Ohio, June. Association for Computational Linguistics.
    • (2008) Proceedings of ACL-08: HLT, Short Papers , pp. 213-216
    • Musillo, G.A.1    Merlo, P.2
  • 22
    • 26944434018 scopus 로고    scopus 로고
    • Complexity results and approximation strategies for mapexplanations
    • James D. Park and Adnan Darwiche. 2004. Complexity results and approximation strategies for mapexplanations. Journal of Artificial Intelligence Research, 21:101-133.
    • (2004) Journal of Artificial Intelligence Research , vol.21 , pp. 101-133
    • Park, J.D.1    Darwiche, A.2
  • 23
    • 79952268599 scopus 로고    scopus 로고
    • Cubic-Time parsing and learning algorithms for grammatical bigram models
    • University of California, Berkeley
    • Mark Paskin. 2001. Cubic-Time parsing and learning algorithms for grammatical bigram models. Technical Report UCB/CSD-01-1148, University of California, Berkeley.
    • (2001) Technical Report UCB/CSD-01-1148
    • Paskin, M.1
  • 27
    • 85119621244 scopus 로고    scopus 로고
    • A latent variable model for generative dependency parsing
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • Ivan Titov and James Henderson. 2007. A latent variable model for generative dependency parsing. In Proceedings of the Tenth International Conference on Parsing Technologies, pages 144-155, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the Tenth International Conference on Parsing Technologies , pp. 144-155
    • Titov, I.1    Henderson, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.