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Volumn , Issue , 2009, Pages 326-334

Joint parsing and named entity recognition

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84858388176     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1620754.1620802     Document Type: Conference Paper
Times cited : (171)

References (17)
  • 1
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    • Inducing syntactic categories by context distribution clustering
    • Lisbon, Portugal
    • Alexander Clark. 2000. Inducing syntactic categories by context distribution clustering. In Proc. of Conference on Computational Natural Language Learning, pages 91-94, Lisbon, Portugal.
    • (2000) Proc. of Conference on Computational Natural Language Learning , pp. 91-94
    • Clark, A.1
  • 2
    • 85118152899 scopus 로고    scopus 로고
    • Three generative, lexicalised models for statistical parsing
    • Michael Collins. 1997. Three generative, lexicalised models for statistical parsing. In ACL 1997.
    • (1997) ACL 1997
    • Collins, M.1
  • 3
    • 72449211489 scopus 로고    scopus 로고
    • Efficient, feature-based conditional random field parsing
    • Jenny Rose Finkel and Christopher D. Manning. 2008. Efficient, feature-based conditional random field parsing. In ACL/HLT-2008.
    • (2008) ACL/HLT-2008
    • Finkel, J.R.1    Manning, C.D.2
  • 4
    • 84859918687 scopus 로고    scopus 로고
    • Incorporating non-local information into information extraction systems by gibbs sampling
    • Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In ACL 2005.
    • (2005) ACL 2005
    • Finkel, J.R.1    Grenager, T.2    Manning, C.3
  • 5
    • 80053379378 scopus 로고    scopus 로고
    • Solving the problem of cascading errors: Approximate Bayesian inference for linguistic annotation pipelines
    • Jenny Rose Finkel, Christopher D. Manning, and Andrew Y. Ng. 2006. Solving the problem of cascading errors: Approximate bayesian inference for linguistic annotation pipelines. In EMNLP 2006.
    • (2006) EMNLP 2006
    • Finkel, J.R.1    Manning, C.D.2    Ng, A.Y.3
  • 8
    • 4944229711 scopus 로고    scopus 로고
    • GENIA corpus - A semantically annotated corpus for bio-textmining
    • DOI 10.1093/bioinformatics/btg1023
    • Jin-Dong Kim, Tomoko Ohta, Yuka Teteisi, and Jun'ichi Tsujii. 2003. Genia corpus - a semantically annotated corpus for bio-textmining. Bioinformatics, 19(suppl. 1):i180-i182. (Pubitemid 41185616)
    • (2003) Bioinformatics , vol.19 , Issue.SUPPL. 1
    • Kim, J.-D.1    Ohta, T.2    Tateisi, Y.3    Tsujii, J.4
  • 9
    • 34249852033 scopus 로고
    • Building a large annotated corpus of English: The penn treebank
    • Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 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    Santorini, B.2    Marcinkiewicz, M.A.3
  • 11
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
    • Andrew Ng and Michael Jordan. 2002. On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In Advances in Neural Information Processing Systems (NIPS).
    • (2002) Advances in Neural Information Processing Systems (NIPS)
    • Ng, A.1    Jordan, M.2
  • 17
    • 84859889773 scopus 로고    scopus 로고
    • Joint word segmentation and POS tagging using a single perceptron
    • Yue Zhang and Stephen Clark. 2008. Joint word segmentation and POS tagging using a single perceptron. In ACL 2008.
    • (2008) ACL 2008
    • Zhang, Y.1    Clark, S.2


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