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Volumn , Issue , 2008, Pages 344-352

A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; HIDDEN MARKOV MODELS; MAXIMUM PRINCIPLE; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80053359625     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1613715.1613761     Document Type: Conference Paper
Times cited : (76)

References (16)
  • 2
    • 80053348297 scopus 로고    scopus 로고
    • An introduction to markov chain monte carlo methods
    • Mark Johnson, Sanjeev P. Khudanpur, Mari Ostendorf, and Roni Rosenfeld, editors, Springer, New York
    • Julian Besag. 2004. An introduction to Markov Chain Monte Carlo methods. In Mark Johnson, Sanjeev P. Khudanpur, Mari Ostendorf, and Roni Rosenfeld, editors, Mathematical Foundations of Speech and Language Processing, pages 247-270. Springer, New York.
    • (2004) Mathematical Foundations of Speech and Language Processing , pp. 247-270
    • Besag, J.1
  • 4
    • 85094918571 scopus 로고    scopus 로고
    • Combining distributional and morphological information for part of speech induction
    • Association for Computational Linguistics
    • Alexander Clark. 2003. Combining distributional and morphological information for part of speech induction. In 10th Conference of the European Chapter of the Association for Computational Linguistics, pages 59-66. Association for Computational Linguistics.
    • (2003) 10th Conference of the European Chapter of the Association for Computational Linguistics , pp. 59-66
    • Clark, A.1
  • 6
    • 84860525845 scopus 로고    scopus 로고
    • A fully Bayesian approach to unsupervised part-of-speech tagging
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • Sharon Goldwater and Tom Griffiths. 2007. A fully Bayesian approach to unsupervised part-of-speech tagging. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 744-751, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics , pp. 744-751
    • Goldwater, S.1    Griffiths, T.2
  • 14
    • 9444274777 scopus 로고    scopus 로고
    • Comparing clusterings by the variation of information
    • Bernhard Schölkopf andManfred K. Warmuth, editors, of Lecture Notes in Computer Science, Springer
    • Marina Meilǎ. 2003. Comparing clusterings by the variation of information. In Bernhard Schölkopf andManfred K. Warmuth, editors, COLT 2003: The Sixteenth Annual Conference on Learning Theory, volume 2777 of Lecture Notes in Computer Science, pages 173-187. Springer.
    • (2003) COLT 2003: The Sixteenth Annual Conference on Learning Theory , vol.2777 , pp. 173-187
    • Meilǎ, M.1
  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.