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Volumn , Issue , 2009, Pages 185-192

Syntactic topic models

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FORESTRY; SEMANTICS;

EID: 79957668514     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (110)

References (23)
  • 2
    • 85162018212 scopus 로고    scopus 로고
    • NUS-ML: Improving word sense disambiguation using topic features
    • Association for Computational Linguistics
    • Cai, J. F., W. S. Lee, Y. W. Teh. NUS-ML:Improving word sense disambiguation using topic features. In Proceedings of SemEval-2007. Association for Computational Linguistics, 2007.
    • (2007) Proceedings of SemEval-2007
    • Cai, J.F.1    Lee, W.S.2    The, Y.W.3
  • 3
    • 33745155436 scopus 로고    scopus 로고
    • A Bayesian hierarchical model for learning natural scene categories
    • IEEE Computer Society, Washington, DC, USA
    • Fei-Fei Li, P. Perona. A Bayesian hierarchical model for learning natural scene categories. In CVPR '05 - Volume 2, pages 524-531. IEEE Computer Society, Washington, DC, USA, 2005.
    • (2005) CVPR '05 , vol.2 , pp. 524-531
    • Li, F.-F.1    Perona, P.2
  • 4
    • 84898970398 scopus 로고    scopus 로고
    • Modeling user rating profiles for collaborative filtering
    • S. Thrun, L. Saul, B. Schölkopf, eds., MIT Press, Cambridge, MA
    • Marlin, B. Modeling user rating profiles for collaborative filtering. In S. Thrun, L. Saul, B. Schölkopf, eds., Advances in Neural Information Processing Systems. MIT Press, Cambridge, MA, 2004.
    • (2004) Advances in Neural Information Processing Systems
    • Marlin, B.1
  • 5
    • 44649094993 scopus 로고    scopus 로고
    • Probabilistic topic models
    • T. Landauer, D. McNamara, S. Dennis, W. Kintsch, eds. Laurence, Erlbaum
    • Griffiths, T., M. Steyvers. Probabilistic topic models. In T. Landauer, D. McNamara, S. Dennis, W. Kintsch, eds., Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum, 2006.
    • (2006) Latent Semantic Analysis: A Road to Meaning
    • Griffiths, T.1    Steyvers, M.2
  • 6
    • 34347357484 scopus 로고    scopus 로고
    • Dependency-based construction of semantic space models
    • Padó, S., M. Lapata. Dependency-based construction of semantic space models. Computational Linguistics, 33(2):161-199, 2007.
    • (2007) Computational Linguistics , vol.33 , Issue.2 , pp. 161-199
    • Padó, S.1    Lapata, M.2
  • 8
    • 84898936438 scopus 로고    scopus 로고
    • Integrating topics and syntax
    • L. K. Saul, Y. Weiss, L. Bottou, Eds. MIT Press, Cambridge, MA
    • Griffiths, T. L., M. Steyvers, D. M. Blei, et al. Integrating topics and syntax. In L. K. Saul, Y. Weiss, L. Bottou, eds., Advances in Neural Information Processing Systems, pages 537-544. MIT Press, Cambridge, MA, 2005.
    • (2005) Advances in Neural Information Processing Systems , pp. 537-544
    • Griffiths, T.L.1    Steyvers, M.2    Blei, D.M.3
  • 10
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The Penn treebank
    • Marcus, M. P., B. Santorini, M. A. Marcinkiewicz. Building a large annotated corpus of English: The Penn treebank. Computational Linguistics, 19(2):313-330, 1994.
    • (1994) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.P.1    Santorini, B.2    Marcinkiewicz, M.A.3
  • 11
    • 0033350721 scopus 로고    scopus 로고
    • Products of experts
    • Hinton, G. Products of experts. In Proceedings of the Ninth International Conference on Artificial Neural Networks, pages 1-6. IEEE, Edinburgh, Scotland, 1999. (Pubitemid 30519905)
    • (1999) IEE Conference Publication , vol.1 , Issue.470 , pp. 1-6
    • Hinton Geoffrey, E.1
  • 15
    • 0033225865 scopus 로고    scopus 로고
    • Introduction to variational methods for graphical models
    • DOI 10.1023/A:1007665907178
    • Jordan, M., Z. Ghahramani, T. S. Jaakkola, et al. An introduction to variational methods for graphical models. Machine Learning, 37(2):183-233, 1999. (Pubitemid 30544678)
    • (1999) Machine Learning , vol.37 , Issue.2 , pp. 183-233
    • Jordan, M.I.1    Ghahramani, Z.2    Jaakkola, T.S.3    Saul, L.K.4
  • 18
    • 85008242043 scopus 로고    scopus 로고
    • Extended constituent-to-dependency conversion for English
    • Johansson, R., P. Nugues. Extended constituent-to-dependency conversion for English. In (NODALIDA). 2007.
    • (2007) NODALIDA
    • Johansson, R.1    Nugues, P.2
  • 19
    • 84858761341 scopus 로고    scopus 로고
    • Sussx: WSD using automatically acquired predominant senses
    • Association for Computational Linguistics
    • Koeling, R., D. McCarthy. Sussx: WSD using automatically acquired predominant senses. In Proceedings of SemEval-2007. Association for Computational Linguistics, 2007.
    • (2007) Proceedings of SemEval-2007
    • Koeling, R.1    McCarthy, D.2
  • 20
    • 85162027738 scopus 로고    scopus 로고
    • PUTOP: Turning predominant senses into a topic model for WSD
    • Association for Computational Linguistics
    • Boyd-Graber, J., D. Blei. PUTOP: Turning predominant senses into a topic model for WSD. In Proceedings of SemEval-2007. Association for Computational Linguistics, 2007.
    • (2007) Proceedings of SemEval-2007
    • Boyd-Graber, J.1    Blei, D.2
  • 22
    • 4043082208 scopus 로고    scopus 로고
    • Head-driven statistical models for natural language parsing
    • DOI 10.1162/089120103322753356
    • Collins, M. Head-driven statistical models for natural language parsing. Computational Linguistics, 29(4):589-637, 2003. (Pubitemid 39056498)
    • (2003) Computational Linguistics , vol.29 , Issue.4 , pp. 589-637
    • Collins, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.