An Auto-Encoder for Learning Conversation Representation Using LSTM-Reference-Cited by-同舟云学术

An Auto-Encoder for Learning Conversation Representation Using LSTM

Published:2015 Issue: Volume: Page:310-317
ISSN:0302-9743
Container-title:Neural Information Processing
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Author:

Zhou Xiaoqiang,Hu Baotian,Chen Qingcai,Wang Xiaolong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-26532-2_34

Reference22 articles.

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3. Stolcke, A., Coccaro, N., Bates, R., Taylor, P., Van Ess-Dykema, C., Ries, K., Shriberg, E., Jurafsky, D., Martin, R., Meteer, M.: Dialogue act modeling for automatic tagging and recognition of conversational speech. Comput. Linguist. 26(3), 339–374 (2000)

4. Rieser, V., Lemon, O.: Natural language generation as planning under uncertainty for spoken dialogue systems. In: Proceedings of EACL, pp. 683–691 (2009)

5. Liu, J., Seneff, S., Zue, V.: Dialogue-oriented review summary generation for spoken dialogue recommendation systems. In: Proceedings of NAACL, pp. 64–72 (2010)

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