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Volumn , Issue , 2009, Pages 495-503

Distributional representations for handling sparsity in supervised sequence-labeling

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 80053028502     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1687878.1687948     Document Type: Conference Paper
Times cited : (68)

References (30)
  • 1
    • 84859921107 scopus 로고    scopus 로고
    • A highperformance semi-supervised learning method for text chunking
    • Rie Kubota Ando and Tong Zhang. 2005. A highperformance semi-supervised learning method for text chunking. In ACL.
    • (2005) ACL
    • Ando, R.K.1    Zhang, T.2
  • 2
    • 85119091952 scopus 로고    scopus 로고
    • Part of speech tagging in context
    • Michele Banko and Robert C. Moore. 2004. Part of speech tagging in context. In COLING.
    • (2004) COLING
    • Banko, M.1    Moore, R.C.2
  • 6
    • 80053342456 scopus 로고    scopus 로고
    • Domain adaptation with structural correspondence learning
    • John Blitzer, Ryan McDonald, and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In EMNLP.
    • (2006) EMNLP
    • Blitzer, J.1    McDonald, R.2    Pereira, F.3
  • 7
    • 0028576341 scopus 로고
    • Some advances in rule-based part of speech tagging
    • Seattle, Washington
    • E. Brill. 1994. Some Advances in Rule-Based Part of Speech Tagging. In AAAI, pages 722-727, Seattle, Washington.
    • (1994) AAAI , pp. 722-727
    • Brill, E.1
  • 8
    • 84890506043 scopus 로고    scopus 로고
    • Adaptation of maximum entropy classifier: Little data can help a lot
    • Ciprian Chelba and Alex Acero. 2004. Adaptation of maximum entropy classifier: Little data can help a lot. In EMNLP.
    • (2004) EMNLP
    • Chelba, C.1    Acero, A.2
  • 9
    • 85024115120 scopus 로고    scopus 로고
    • An empirical study of smoothing techniques for language modeling
    • Morristown, NJ, USA. Association for Computational Linguistics
    • Stanley F. Chen and Joshua Goodman. 1996. An empirical study of smoothing techniques for language modeling. In Proceedings of the 34th annual meeting on Association for Computational Linguistics, pages 310-318, Morristown, NJ, USA. Association for Computational Linguistics.
    • (1996) Proceedings of the 34th Annual Meeting on Association for Computational Linguistics , pp. 310-318
    • Chen, S.F.1    Goodman, J.2
  • 11
    • 84860513476 scopus 로고    scopus 로고
    • Frustratingly easy domain adaptation
    • Hal Daumé III. 2007. Frustratingly easy domain adaptation. In ACL.
    • (2007) ACL
    • Daumé III, H.1
  • 14
    • 84860503886 scopus 로고    scopus 로고
    • Sparse information extraction: Unsupervised language models to the rescue
    • Doug Downey, Stefan Schoenmackers, and Oren Etzioni. 2007. Sparse information extraction: Unsupervised language models to the rescue. In ACL.
    • (2007) ACL
    • Downey, D.1    Schoenmackers, S.2    Etzioni, O.3
  • 16
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden Markov models
    • Zoubin Ghahramani and Michael I. Jordan. 1997. Factorial hidden markov models. Machine Learning, 29(2-3):245-273.
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.I.2
  • 17
    • 84860525845 scopus 로고    scopus 로고
    • A fully Bayesian approach to unsupervised part-of-speech tagging
    • Sharon Goldwater and Thomas L. Griffiths. 2007. A fully bayesian approach to unsupervised part-of-speech tagging. In ACL.
    • (2007) ACL
    • Goldwater, S.1    Griffiths, T.L.2
  • 18
    • 80053381171 scopus 로고    scopus 로고
    • Why doesn't em find good HMM POS-taggers
    • Mark Johnson. 2007. Why doesn't EM find good HMM POS-taggers. In EMNLP.
    • (2007) EMNLP
    • Johnson, M.1
  • 20
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The Penn Treebank
    • Mitchell P. Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics, 19(2):313-330.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.P.1    Marcinkiewicz, M.A.2    Santorini, B.3
  • 24
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Lawrence R. Rabiner. 1989. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-285.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-285
    • Rabiner, L.R.1
  • 29
    • 79551484033 scopus 로고    scopus 로고
    • A bayesian LDA-based model for semi-supervised part-of-speech tagging
    • Kristina Toutanova and Mark Johnson. 2007. A bayesian LDA-based model for semi-supervised part-of-speech tagging. In NIPS.
    • (2007) NIPS
    • Toutanova, K.1    Johnson, M.2
  • 30
    • 84874133262 scopus 로고    scopus 로고
    • Discriminative hidden Markov modeling with long state dependence using a KNN ensemble
    • GuoDong Zhou. 2004. Discriminative hidden Markov modeling with long state dependence using a kNN ensemble. In COLING.
    • (2004) COLING
    • Zhou, G.D.1


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