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Volumn , Issue , 2009, Pages 678-687

The infinite HMM for unsupervised PoS tagging

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; INFERENCE ENGINES; NATURAL LANGUAGE PROCESSING SYSTEMS; SYNTACTICS;

EID: 78249244945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1699571.1699601     Document Type: Conference Paper
Times cited : (36)

References (20)
  • 1
    • 0000708831 scopus 로고
    • Mixtures of dirichlet processes with applications to bayesian nonparametric problems
    • Charles E. Antoniak. 1974. Mixtures of dirichlet processes with applications to bayesian nonparametric problems. The Annals of Statistics, 2(6):1152-1174.
    • (1974) The Annals of Statistics , vol.2 , Issue.6 , pp. 1152-1174
    • Antoniak, C.E.1
  • 3
    • 84959037853 scopus 로고    scopus 로고
    • Unsupervised part-of-speech tagging supporting supervised methods
    • Chris Biemann, Claudio Giuliano, and Alfio Gliozzo. 2007. Unsupervised part-of-speech tagging supporting supervised methods. In Proceedings of RANLP.
    • (2007) Proceedings of RANLP
    • Biemann, C.1    Giuliano, C.2    Gliozzo, A.3
  • 4
    • 0028576341 scopus 로고
    • Some advances in transformationbased part of speech tagging
    • Eric Brill. 1994. Some advances in transformationbased part of speech tagging. In National Conference on Artificial Intelligence, pages 722-727.
    • (1994) National Conference on Artificial Intelligence , pp. 722-727
    • Brill, E.1
  • 9
    • 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
  • 13
    • 0003598536 scopus 로고    scopus 로고
    • Ensemble learning for hidden Markov models
    • University of Cambridge, 1997
    • D. J. C. MacKay. 1997. Ensemble learning for hidden Markov models. Technical report, Cavendish Laboratory, University of Cambridge, 1997.
    • (1997) Technical Report, Cavendish Laboratory
    • MacKay, D.J.C.1
  • 14
    • 33947156744 scopus 로고    scopus 로고
    • Comparing clusterings-an information based distance
    • Marina Meilǎ. 2007. Comparing clusterings-an information based distance. Journal of Multivariate Analysis, 98(5):873-895.
    • (2007) Journal of Multivariate Analysis , vol.98 , Issue.5 , pp. 873-895
    • Meilǎ, M.1
  • 16
    • 0036489069 scopus 로고    scopus 로고
    • Bayesian methods for hidden markov models: Recursive computing in the 21st century
    • March
    • Steven L. Scott. 2002. Bayesian methods for hidden markov models: Recursive computing in the 21st century. Journal of the American Statistical Association, 97(457):337-351, March.
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.457 , pp. 337-351
    • Scott, S.L.1
  • 19
    • 85109864082 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2000 shared task: Chunking
    • Claire Cardie, Walter Daelemans, Claire Nedellec, and Erik Tjong Kim Sang, editors. Lisbon, Portugal, September
    • Erik F. Tjong Kim Sang and Sabine Buchholz. 2000. Introduction to the CoNLL-2000 shared task: Chunking. In Claire Cardie, Walter Daelemans, Claire Nedellec, and Erik Tjong Kim Sang, editors, Proceedings of the Fourth Conference on Computational Natural Language Learning, pages 127-132. Lisbon, Portugal, September.
    • (2000) Proceedings of the Fourth Conference on Computational Natural Language Learning , pp. 127-132
    • Tjong, E.F.1    Sang, K.2    Buchholz, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.