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Volumn , Issue , 2011, Pages 2-12

Structured Databases of Named Entities from Bayesian Nonparametrics

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84883380859     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (32)
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    • Ahmed, Amr1    Xing, Eric P.2
  • 6
    • 0011628813 scopus 로고    scopus 로고
    • Exploiting diverse knowledge sources via maximum entropy in named entity recognition
    • New Jersey. Association for Computational Linguistics
    • A. Borthwick, J. Sterling, E. Agichtein, and R. Grishman. 1998. Exploiting diverse knowledge sources via maximum entropy in named entity recognition. In Sixth Workshop on Very Large Corpora New Brunswick, New Jersey. Association for Computational Linguistics.
    • (1998) Sixth Workshop on Very Large Corpora New Brunswick
    • Borthwick, A.1    Sterling, J.2    Agichtein, E.3    Grishman, R.4
  • 7
    • 84859035460 scopus 로고    scopus 로고
    • Template-based information extraction without the templates
    • Nathanael Chambers and Dan Jurafsky. 2011. Template-based information extraction without the templates. In Proceedings of ACL.
    • (2011) Proceedings of ACL
    • Chambers, Nathanael1    Jurafsky, Dan2
  • 16
    • 84859094402 scopus 로고    scopus 로고
    • Unsupervised coreference resolution in a nonparametric bayesian model
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • Aria Haghighi and Dan Klein. 2007. Unsupervised coreference resolution in a nonparametric bayesian model. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 848–855, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics , pp. 848-855
    • Haghighi, Aria1    Klein, Dan2
  • 17
    • 84859992783 scopus 로고    scopus 로고
    • An entity-level approach to information extraction
    • a pages Stroudsburg, PA, USA. Association for Computational Linguistics
    • Aria Haghighi and Dan Klein. 2010a. An entity-level approach to information extraction. In Proceedings of the ACL 2010 Conference Short Papers, ACLShort ’10, pages 291–295, Stroudsburg, PA, USA. Association for Computational Linguistics.
    • (2010) Proceedings of the ACL 2010 Conference Short Papers, ACLShort ’10 , pp. 291-295
    • Haghighi, Aria1    Klein, Dan2
  • 19
    • 0002719797 scopus 로고
    • The Hungarian method for the assignment problem
    • Harold W. Kuhn. 1955. The Hungarian method for the assignment problem. Naval Research Logistic Quarterly, 2:83–97.
    • (1955) Naval Research Logistic Quarterly , vol.2 , pp. 83-97
    • Kuhn, Harold W.1
  • 21
    • 9444291271 scopus 로고    scopus 로고
    • Identification and tracing of ambiguous names: Discriminative and generative approaches
    • Xin Li, Paul Morie, and Dan Roth. 2004. Identification and tracing of ambiguous names: Discriminative and generative approaches. In Proceedings of AAAI, pages 419–424.
    • (2004) Proceedings of AAAI , pp. 419-424
    • Li, Xin1    Morie, Paul2    Roth, Dan3
  • 28
    • 84898962087 scopus 로고    scopus 로고
    • Semi-Markov conditional random fields for information extraction
    • Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, pages MIT Press, Cambridge, MA
    • Sunita Sarawagi and William W. Cohen. 2005. Semi-Markov conditional random fields for information extraction. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, Advances in Neural Information Processing Systems 17, pages 1185–1192. MIT Press, Cambridge, MA.
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 1185-1192
    • Sarawagi, Sunita1    Cohen, William W.2
  • 32
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    • A Monte Carlo Implementation of the EM Algorithm and the Poor Man’s Data Augmentation Algorithms
    • Greg C. G. Wei and Martin A. Tanner. 1990. A Monte Carlo Implementation of the EM Algorithm and the Poor Man’s Data Augmentation Algorithms. Journal of the American Statistical Association, 85(411):699–704.
    • (1990) Journal of the American Statistical Association , vol.85 , Issue.411 , pp. 699-704
    • Wei, Greg C. G.1    Tanner, Martin A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.