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Volumn , Issue , 2009, Pages 1523-1532

Domain adaptive bootstrapping for named entity recognition

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 78651299202     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1699648.1699699     Document Type: Conference Paper
Times cited : (53)

References (15)
  • 3
    • 84860501619 scopus 로고    scopus 로고
    • Domain adaptation with active learning for word sense disambiguation
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • Yee Seng Chan and Hwee Tou Ng. 2007. Domain adaptation with active learning for word sense disambiguation. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 49-56, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics , pp. 49-56
    • Chan, Y.S.1    Ng, H.T.2
  • 8
    • 84859918687 scopus 로고    scopus 로고
    • Incorporating non-local information into information extraction systems by gibbs sampling
    • Morristown, NJ, USA. Association for Computational Linguistics
    • Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, pages 363-370, Morristown, NJ, USA. Association for Computational Linguistics.
    • (2005) ACL ' 05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , pp. 363-370
    • Finkel, J.R.1    Grenager, T.2    Manning, C.3
  • 10
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • San Francisco, CA, USA. Morgan Kaufmann Publishers Inc
    • Thorsten Joachims. 1999. Transductive inference for text classification using support vector machines. In ICML '99: Proceedings of the Sixteenth International Conference on Machine Learning, pages 200-209, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
    • (1999) ICML '99: Proceedings of the Sixteenth International Conference on Machine Learning , pp. 200-209
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.