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Volumn , Issue , 2016, Pages 225-229

LibN3L: A lightweight package for neural NLP

Author keywords

Neural network; Recurrent neural network; Sequence labeling

Indexed keywords

COMPLEX NETWORKS; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; RECURRENT NEURAL NETWORKS;

EID: 85016555574     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (26)
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  • 8
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    • Dyer, C.1    Ballesteros, M.2    Ling, W.3    Matthews, A.4    Smith, N.A.5
  • 13
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    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Lafferty, J. D., McCallum, A., and Pereira, F. C. N. (2001). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, pages 282-289.
    • (2001) ICML , pp. 282-289
    • Lafferty, J.D.1    McCallum, A.2    Pereira, F.C.N.3
  • 18
    • 33750032384 scopus 로고    scopus 로고
    • An introduction to conditional random fields for relational learning
    • Lise Getoor et al., editors, chapter 4, MIT Press
    • Sutton, C. and Mccallum, A. (2007). An Introduction to Conditional Random Fields for Relational Learning. In Lise Getoor et al., editors, Introduction to statistical relational learning, chapter 4, page 93. MIT Press.
    • (2007) Introduction to Statistical Relational Learning , pp. 93
    • Sutton, C.1    Mccallum, A.2
  • 22
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    • Chinese segmentation with a word-based perceptron algorithm
    • Zhang, Y. and Clark, S. (2007). Chinese segmentation with a word-based perceptron algorithm. In Proceedings of the 45th ACL, pages 840-847.
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    • Zhang, Y.1    Clark, S.2
  • 23
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    • Combining discrete and continuous features for deterministic transition-based dependency parsing
    • Lisbon, Portugal, September. Association for Computational Linguistics
    • Zhang, M. and Zhang, Y. (2015). Combining discrete and continuous features for deterministic transition-based dependency parsing. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1316-1321, Lisbon, Portugal, September. Association for Computational Linguistics.
    • (2015) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pp. 1316-1321
    • Zhang, M.1    Zhang, Y.2
  • 26
    • 84943803613 scopus 로고    scopus 로고
    • A neural probabilistic structured-prediction model for transition-based dependency parsing
    • Zhou, H., Zhang, Y., Huang, S., and Chen, J. (2015). A neural probabilistic structured-prediction model for transition-based dependency parsing. In Proceedings of the 53rd ACL, pages 1213-1222.
    • (2015) Proceedings of the 53rd ACL , pp. 1213-1222
    • Zhou, H.1    Zhang, Y.2    Huang, S.3    Chen, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.