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Volumn , Issue , 2015, Pages 912-921

Representation learning using multi-task deep neural networks for semantic classification and information retrieval

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DEEP NEURAL NETWORKS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTIC WEB; SEMANTICS;

EID: 84960086318     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/n15-1092     Document Type: Conference Paper
Times cited : (367)

References (37)
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    • Gabrilovich, E.1    Markovitch, S.2
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    • Long Papers, Baltimore, Maryland, June Association for Computational Linguistics
    • Jianfeng Gao, Xiaodong He, Wen-tau Yih, and Li Deng. 2014a. Learning continuous phrase representations for translation modeling. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 699-709, Baltimore, Maryland, June. Association for Computational Linguistics.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.