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Volumn , Issue , 2010, Pages 167-176

Efficient graph-based semi-supervised learning of structured tagging models

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELD; DOMAIN ADAPTATION; GRAPH-BASED; LABELED DATA; N-GRAMS; PART OF SPEECH TAGGING; SCALABLE ALGORITHMS; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; TAGGING MODELS; TARGET DOMAIN; TEST TIME; UNLABELED DATA;

EID: 79952257762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (108)

References (33)
  • 1
    • 80053277865 scopus 로고    scopus 로고
    • Graph-based learning for statistical machine translation
    • A. Alexandrescu and K. Kirchhoff. 2009. Graph-based learning for statistical machine translation. In NAACL.
    • (2009) NAACL
    • Alexandrescu, A.1    Kirchhoff, K.2
  • 7
    • 80053342456 scopus 로고    scopus 로고
    • Domain adaptation with structural correspondence learning
    • J. Blitzer, R. McDonald, and F. Pereira. 2006. Domain adaptation with structural correspondence learning. In EMNLP '06.
    • (2006) EMNLP '06
    • Blitzer, J.1    McDonald, R.2    Pereira, F.3
  • 13
    • 49549087700 scopus 로고    scopus 로고
    • Semi-supervised learning by entropy minimization
    • Y. Grandvalet and Y. Bengio. 2005. Semi-supervised learning by entropy minimization. In CAP.
    • (2005) CAP
    • Grandvalet, Y.1    Bengio, Y.2
  • 14
    • 80053270675 scopus 로고    scopus 로고
    • Generalized collective inference with symmetric clique potentials
    • R. Gupta, S. Sarawagi, and A. A. Diwan. 2009. Generalized collective inference with symmetric clique potentials. CoRR, abs/0907.0589.
    • (2009) CoRR, Abs/0907.0589
    • Gupta, R.1    Sarawagi, S.2    Diwan, A.A.3
  • 15
    • 79951928974 scopus 로고    scopus 로고
    • Analysis of semi-supervised learning with the yarowsky algorithm
    • G. R. Haffari and A. Sarkar. 2007. Analysis of semi-supervised learning with the Yarowsky algorithm. In UAI.
    • (2007) UAI
    • Haffari, G.R.1    Sarkar, A.2
  • 22
    • 78049527893 scopus 로고    scopus 로고
    • Semi-supervised learning via Gaussian processes
    • N. D. Lawrence and M. I. Jordan. 2005. Semi-supervised learning via gaussian processes. In NIPS.
    • (2005) NIPS
    • Lawrence, N.D.1    Jordan, M.I.2
  • 23
  • 24
    • 38049094034 scopus 로고
    • Probability of error of some adaptive pattern-recognition machines
    • H. J. Scudder. 1965. Probability of Error of some Adaptive Pattern-Recognition Machines. IEEE Transactions on Information Theory, 11.
    • (1965) IEEE Transactions on Information Theory , pp. 11
    • Scudder, H.J.1
  • 26
    • 84860520429 scopus 로고    scopus 로고
    • Guided learning for bidirectional sequence classification
    • L. Shen, G. Satta, and A. Joshi. 2007. Guided learning for bidirectional sequence classification. In ACL '07.
    • (2007) ACL '07
    • Shen, L.1    Satta, G.2    Joshi, A.3
  • 28
    • 84858733268 scopus 로고    scopus 로고
    • Entropic graph regularization in non-parametric semi-supervised classification
    • Vancouver, Canada, December
    • A. Subramanya and J. A. Bilmes. 2009. Entropic graph regularization in non-parametric semi-supervised classification. In Neural Information Processing Society (NIPS), Vancouver, Canada, December.
    • (2009) Neural Information Processing Society (NIPS)
    • Subramanya, A.1    Bilmes, J.A.2
  • 29
    • 84983470508 scopus 로고    scopus 로고
    • Feature-rich part-of-speech tagging with a cyclic dependency network
    • K. Toutanova, D. Klein, C. D. Manning, and Y. Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In HLT-NAACL '03.
    • (2003) HLT-NAACL '03
    • Toutanova, K.1    Klein, D.2    Manning, C.D.3    Singer, Y.4
  • 33
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • University of Wisconsin-Madison
    • X. Zhu. 2005. Semi-supervised learning literature survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison.
    • (2005) Technical Report 1530, Computer Sciences
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.