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Volumn , Issue , 2016, Pages 55-64

Learning to respond with deep neural networks for retrieval-based human-computer conversation system

Author keywords

Contextual modeling; Conversation system; Deep neural networks; Learning to respond

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; WORLD WIDE WEB;

EID: 84980349809     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2911451.2911542     Document Type: Conference Paper
Times cited : (388)

References (45)
  • 2
    • 84888012346 scopus 로고    scopus 로고
    • Dialog system using real-time crowdsourcing and twitter large-scale corpus
    • F. Bessho, T. Harada, and Y. Kuniyoshi. Dialog system using real-time crowdsourcing and Twitter large-scale corpus. In SIGDIAL, pages 227-231, 2012.
    • (2012) SIGDIAL , pp. 227-231
    • Bessho, F.1    Harada, T.2    Kuniyoshi, Y.3
  • 3
    • 57349097210 scopus 로고    scopus 로고
    • Finding question-answer pairs from online forums
    • G. Cong, L. Wang, C.-Y. Lin, Y.-I. Song, and Y. Sun. Finding question-answer pairs from online forums. In SIGIR, pages 467-474.
    • SIGIR , pp. 467-474
    • Cong, G.1    Wang, L.2    Lin, C.-Y.3    Song, Y.-I.4    Sun, Y.5
  • 5
    • 84959913898 scopus 로고    scopus 로고
    • Multi-perspective sentence similarity modeling with convolutional neural networks
    • H. He, K. Gimpel, and J. Lin. Multi-perspective sentence similarity modeling with convolutional neural networks. In EMNLP, pages 1576-1586, 2015.
    • (2015) EMNLP , pp. 1576-1586
    • He, H.1    Gimpel, K.2    Lin, J.3
  • 7
    • 84937936034 scopus 로고    scopus 로고
    • Convolutional neural network architectures for matching natural language sentences
    • B. Hu, Z. Lu, H. Li, and Q. Chen. Convolutional neural network architectures for matching natural language sentences. In NIPS, pages 2042-2050, 2014.
    • (2014) NIPS , pp. 2042-2050
    • Hu, B.1    Lu, Z.2    Li, H.3    Chen, Q.4
  • 8
    • 1842637192 scopus 로고    scopus 로고
    • Cumulated gain-based evaluation of IR techniques
    • K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst., 20(4):422-446, 2002.
    • (2002) ACM Trans. Inf. Syst. , vol.20 , Issue.4 , pp. 422-446
    • Järvelin, K.1    Kekäläinen, J.2
  • 9
    • 84946612545 scopus 로고    scopus 로고
    • An information retrieval approach to short text conversation
    • 1408.6988
    • Z. Ji, Z. Lu, and H. Li. An information retrieval approach to short text conversation. CoRR, abs/1408.6988, 2014.
    • (2014) CoRR
    • Ji, Z.1    Lu, Z.2    Li, H.3
  • 11
    • 84958246370 scopus 로고    scopus 로고
    • An optimization framework for merging multiple result lists
    • C.-J. Lee, Q. Ai, W. B. Croft, and D. Sheldon. An optimization framework for merging multiple result lists. In CIKM '15, pages 303-312, 2015.
    • (2015) CIKM '15 , pp. 303-312
    • Lee, C.-J.1    Ai, Q.2    Croft, W.B.3    Sheldon, D.4
  • 12
    • 84857767065 scopus 로고    scopus 로고
    • Building effective question answering characters
    • A. Leuski, R. Patel, D. Traum, and B. Kennedy. Building effective question answering characters. In SIGDIAL, pages 18-27, 2009.
    • (2009) SIGDIAL , pp. 18-27
    • Leuski, A.1    Patel, R.2    Traum, D.3    Kennedy, B.4
  • 13
    • 80051618137 scopus 로고    scopus 로고
    • NPCEditor: Creating virtual human dialogue using information retrieval techniques
    • A. Leuski and D. Traum. NPCEditor: Creating virtual human dialogue using information retrieval techniques. AI Magazine, 32(2):42-56, 2011.
    • (2011) AI Magazine , vol.32 , Issue.2 , pp. 42-56
    • Leuski, A.1    Traum, D.2
  • 16
    • 85006106996 scopus 로고    scopus 로고
    • Stalematebreaker: A proactive content-introducing approach to automatic human-computer conversation
    • X. Li, L. Mou, R. Yan, and M. Zhang. Stalematebreaker: A proactive content-introducing approach to automatic human-computer conversation. In IJCAI, 2016.
    • (2016) IJCAI
    • Li, X.1    Mou, L.2    Yan, R.3    Zhang, M.4
  • 17
    • 84898987087 scopus 로고    scopus 로고
    • A deep architecture for matching short texts
    • Z. Lu and H. Li. A deep architecture for matching short texts. In NIPS, pages 1367-1375, 2013.
    • (2013) NIPS , pp. 1367-1375
    • Lu, Z.1    Li, H.2
  • 20
    • 85007247339 scopus 로고    scopus 로고
    • Convolutional neural networks over tree structures for programming language processing
    • L. Mou, G. Li, L. Zhang, T. Wang, and Z. Jin. Convolutional neural networks over tree structures for programming language processing. In AAAI, pages 1287-1292, 2016.
    • (2016) AAAI , pp. 1287-1292
    • Mou, L.1    Li, G.2    Zhang, L.3    Wang, T.4    Jin, Z.5
  • 21
    • 84959888619 scopus 로고    scopus 로고
    • Discriminative neural sentence modeling by tree-based convolution
    • L. Mou, H. Peng, G. Li, Y. Xu, L. Zhang, and Z. Jin. Discriminative neural sentence modeling by tree-based convolution. In EMNLP, pages 2315-2325, 2015.
    • (2015) EMNLP , pp. 2315-2325
    • Mou, L.1    Peng, H.2    Li, G.3    Xu, Y.4    Zhang, L.5    Jin, Z.6
  • 26
    • 80053292690 scopus 로고    scopus 로고
    • Data-driven response generation in social media
    • A. Ritter, C. Cherry, and W. B. Dolan. Data-driven response generation in social media. In EMNLP, pages 583-593, 2011.
    • (2011) EMNLP , pp. 583-593
    • Ritter, A.1    Cherry, C.2    Dolan, W.B.3
  • 28
    • 84953775876 scopus 로고    scopus 로고
    • Learning to rank short text pairs with convolutional deep neural networks
    • A. Severyn and A. Moschitti. Learning to rank short text pairs with convolutional deep neural networks. In SIGIR '15, pages 373-382.
    • SIGIR '15 , pp. 373-382
    • Severyn, A.1    Moschitti, A.2
  • 29
    • 84943801401 scopus 로고    scopus 로고
    • Neural responding Machine for short-text conversation
    • L. Shang, Z. Lu, and H. Li. Neural responding machine for short-text conversation. In ACL-IJCNLP, pages 1577-1586, 2015.
    • (2015) ACL-IJCNLP , pp. 1577-1586
    • Shang, L.1    Lu, Z.2    Li, H.3
  • 30
    • 80053261327 scopus 로고    scopus 로고
    • Semi-supervised recursive autoencoders for predicting sentiment distributions
    • R. Socher, J. Pennington, E. H. Huang, A. Y. Ng, and C. D. Manning. Semi-supervised recursive autoencoders for predicting sentiment distributions. In EMNLP, pages 151-161, 2011.
    • (2011) EMNLP , pp. 151-161
    • Socher, R.1    Pennington, J.2    Huang, E.H.3    Ng, A.Y.4    Manning, C.D.5
  • 31
    • 84987918349 scopus 로고    scopus 로고
    • Open-domain utterance generation for conversational dialogue systems using web-scale dependency structures
    • H. Sugiyama, T. Meguro, R. Higashinaka, and Y. Minami. Open-domain utterance generation for conversational dialogue systems using Web-scale dependency structures. In SIGDIAL, pages 334-338, 2013.
    • (2013) SIGDIAL , pp. 334-338
    • Sugiyama, H.1    Meguro, T.2    Higashinaka, R.3    Minami, Y.4
  • 32
    • 84928547704 scopus 로고    scopus 로고
    • Sequence to sequence learning with neural networks
    • I. Sutskever, O. Vinyals, and Q. V. Le. Sequence to sequence learning with neural networks. In NIPS, pages 3104-3112, 2014.
    • (2014) NIPS , pp. 3104-3112
    • Sutskever, I.1    Vinyals, O.2    Le, Q.V.3
  • 33
    • 10044269246 scopus 로고    scopus 로고
    • Quantitative and qualitative evaluation of DARPA communicator spoken dialogue systems
    • M. A. Walker, R. Passonneau, and J. E. Boland. Quantitative and qualitative evaluation of darpa communicator spoken dialogue systems. In ACL, pages 515-522, 2001.
    • (2001) ACL , pp. 515-522
    • Walker, M.A.1    Passonneau, R.2    Boland, J.E.3
  • 35
    • 84902463897 scopus 로고    scopus 로고
    • A dataset for research on short-text conversations
    • H. Wang, Z. Lu, H. Li, and E. Chen. A dataset for research on short-text conversations. In EMNLP, pages 935-945, 2013.
    • (2013) EMNLP , pp. 935-945
    • Wang, H.1    Lu, Z.2    Li, H.3    Chen, E.4
  • 38
    • 84959865227 scopus 로고    scopus 로고
    • Classifying relations via long short term memory networks along shortest dependency paths
    • Y. Xu, L. Mou, G. Li, Y. Chen, H. Peng, and Z. Jin. Classifying relations via long short term memory networks along shortest dependency paths. In EMNLP, 2015.
    • (2015) EMNLP
    • Xu, Y.1    Mou, L.2    Li, G.3    Chen, Y.4    Peng, H.5    Jin, Z.6
  • 39
    • 85006154103 scopus 로고    scopus 로고
    • I, poet: Automatic poetry composition through recurrent neural networks with iterative polishing schema
    • R. Yan. i, poet: Automatic poetry composition through recurrent neural networks with iterative polishing schema. In IJCAI, 2016.
    • (2016) IJCAI
    • Yan, R.1
  • 40
    • 84878211803 scopus 로고    scopus 로고
    • Tweet recommendation with graph co-ranking
    • R. Yan, M. Lapata, and X. Li. Tweet recommendation with graph co-ranking. In ACL, pages 516-525, 2012.
    • (2012) ACL , pp. 516-525
    • Yan, R.1    Lapata, M.2    Li, X.3
  • 41
    • 84980379698 scopus 로고    scopus 로고
    • Socialized language model smoothing via bi-directional influence propagation on social networks
    • R. Yan, C.-T. Li, H.-P. Hsieh, P. Hu, X. Hu, and T. He. Socialized language model smoothing via bi-directional influence propagation on social networks. In WWW '16, pages 1395-1405, 2016.
    • (2016) WWW '16 , pp. 1395-1405
    • Yan, R.1    Li, C.-T.2    Hsieh, H.-P.3    Hu, P.4    Hu, X.5    He, T.6
  • 42
    • 80052133170 scopus 로고    scopus 로고
    • Evolutionary timeline summarization: A balanced optimization framework via iterative substitution
    • R. Yan, X. Wan, J. Otterbacher, L. Kong, X. Li, and Y. Zhang. Evolutionary timeline summarization: A balanced optimization framework via iterative substitution. In SIGIR '11, pages 745-754, 2011.
    • (2011) SIGIR '11 , pp. 745-754
    • Yan, R.1    Wan, X.2    Otterbacher, J.3    Kong, L.4    Li, X.5    Zhang, Y.6
  • 43
    • 84944137957 scopus 로고    scopus 로고
    • Tackling the achilles heel of social networks: Influence propagation based language model smoothing
    • R. Yan, I. E. Yen, C.-T. Li, S. Zhao, and X. Hu. Tackling the achilles heel of social networks: Influence propagation based language model smoothing. In WWW '15, pages 1318-1328, 2015.
    • (2015) WWW '15 , pp. 1318-1328
    • Yan, R.1    Yen, I.E.2    Li, C.-T.3    Zhao, S.4    Hu, X.5
  • 44
    • 84906925486 scopus 로고    scopus 로고
    • Discovering latent structure in task-oriented dialogues
    • K. Zhai and D. J. Williams. Discovering latent structure in task-oriented dialogues. In ACL, pages 36-46, 2014.
    • (2014) ACL , pp. 36-46
    • Zhai, K.1    Williams, D.J.2
  • 45
    • 84959891977 scopus 로고    scopus 로고
    • Shallow convolutional neural network for implicit discourse relation recognition
    • B. Zhang, J. Su, D. Xiong, Y. Lu, H. Duan, and J. Yao. Shallow convolutional neural network for implicit discourse relation recognition. In EMNLP, pages 2230-2235, 2015.
    • (2015) EMNLP , pp. 2230-2235
    • Zhang, B.1    Su, J.2    Xiong, D.3    Lu, Y.4    Duan, H.5    Yao, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.