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Volumn 13-17-August-2016, Issue , 2016, Pages 955-964

Smart reply: Automated response suggestion for email

Author keywords

Clustering; Deep learning; Email; LSTM; Semantics

Indexed keywords

DATA MINING; SEMANTICS;

EID: 84984985591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2939672.2939801     Document Type: Conference Paper
Times cited : (282)

References (27)
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  • 11
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    • Estimation of probabilities from sparse data for the language model component of a speech recogniser
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    • Katz, S.M.1
  • 12
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    • Understanding the semantic structure of noun phrase queries
    • Uppsala, Sweden, July . Association for Computational Linguistics
    • X. Li. Understanding the semantic structure of noun phrase queries. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), pages 1337-1345, Uppsala, Sweden, July 2010. Association for Computational Linguistics.
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    • Li, X.1
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    • Discovering and understanding word level user intent in web search queries
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    • R. Saha Roy, R. Katare, N. Ganguly, S. Laxman, and M. Choudhury. Discovering and understanding word level user intent in web search queries. Web Semant. 30(C):22-38, Jan. 2015.
    • (2015) Web Semant. , vol.30 , Issue.C , pp. 22-38
    • Saha Roy, R.1    Katare, R.2    Ganguly, N.3    Laxman, S.4    Choudhury, M.5
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    • Neural responding machine for short-text conversation
    • L. Shang, Z. Lu, and H. Li. Neural responding machine for short-text conversation. In In Proceedings of ACL-IJCNLP, 2015.
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    • Shang, L.1    Lu, Z.2    Li, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.