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Volumn , Issue , 2015, Pages 232-237

Non-lexical neural architecture for fine-grained POS tagging

Author keywords

[No Author keywords available]

Indexed keywords

ARTS COMPUTING; CONVOLUTION; NATURAL LANGUAGE PROCESSING SYSTEMS; NETWORK ARCHITECTURE;

EID: 84959912038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1025     Document Type: Conference Paper
Times cited : (59)

References (19)
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    • Visualizing and understanding recurrent networks
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    • Andrej Karpathy, Justin Johnson, and Fei-Fei Li. 2015. Visualizing and understanding recurrent networks. CoRR, abs/1506.02078.
    • (2015) CoRR
    • Karpathy, A.1    Johnson, J.2    Li, F.-F.3
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    • Learning character-level representations for part-ofspeech tagging
    • Tony Jebara and Eric P. Xing, editors, JMLR Workshop and Conference Proceedings
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    • (2014) Proceedings of the 31st International Conference on Machine Learning (ICML-14) , pp. 1818-1826
    • Santos, C.D.1    Zadrozny, B.2
  • 15
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    • Estimation of conditional probabilities with decision trees and an application to fine-grained pos tagging
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    • Helmut Schmid and Florian Laws. 2008. Estimation of conditional probabilities with decision trees and an application to fine-grained pos tagging. In Proceedings of the 22Nd International Conference on Computational Linguistics - Volume 1, COLING'08, pages 777-784, Stroudsburg, PA, USA. Association for Computational Linguistics.
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    • Schmid, H.1    Laws, F.2
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    • chapter Phoneme Recognition Using Time-delay Neural Networks, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.