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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.

T. Wen, M. Gasic, N. Mrksic, L. Rojas-Barahona, P. Su, D. Vandyke, and S. Young. HLT-NAACL, page 120-129. The Association for Computational Linguistics, (2016)

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Hao-Wei Su

Xiaofei Hao

Wenjin Hao

Jin Hao

Jun Hao

Other publications of authors with the same name

Policy committee for adaptation in multi-domain spoken dialogue systems.M. Gasic, N. Mrksic, P. hao Su, D. Vandyke, T. Wen, and S. Young. ASRU, page 806-812. IEEE, (2015)Data Collection and End-to-End Learning for Conversational AI.T. Wen, P. Su, P. Budzianowski, I. Casanueva, and I. Vulic. EMNLP/IJCNLP (2), Association for Computational Linguistics, (2019)ConvFiT: Conversational Fine-Tuning of Pretrained Language Models.I. Vulic, P. Su, S. Coope, D. Gerz, P. Budzianowski, I. Casanueva, N. Mrksic, and T. Wen. EMNLP (1), page 1151-1168. Association for Computational Linguistics, (2021)On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.P. Su, M. Gasic, N. Mrksic, L. Rojas-Barahona, S. Ultes, D. Vandyke, T. Wen, and S. Young. ACL (1), The Association for Computer Linguistics, (2016)Counter-fitting Word Vectors to Linguistic ConstraintsN. Mrkšić, D. Séaghdha, B. Thomson, M. Gašić, L. Rojas-Barahona, P. Su, D. Vandyke, T. Wen, and S. Young. HLT-NAACL, (2016)Continuously Learning Neural Dialogue Management.P. Su, M. Gasic, N. Mrksic, L. Rojas-Barahona, S. Ultes, D. Vandyke, T. Wen, and S. Young. CoRR, (2016)Dialogue manager domain adaptation using Gaussian process reinforcement learning.M. Gasic, N. Mrksic, L. Rojas-Barahona, P. Su, S. Ultes, D. Vandyke, T. Wen, and S. Young. Comput. Speech Lang., (2017)Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding.L. Rojas-Barahona, M. Gasic, N. Mrksic, P. Su, S. Ultes, T. Wen, and S. Young. COLING, page 258-267. ACL, (2016)Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management.P. Su, P. Budzianowski, S. Ultes, M. Gasic, and S. Young. SIGDIAL Conference, page 147-157. Association for Computational Linguistics, (2017)Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems.P. Su, D. Vandyke, M. Gasic, N. Mrksic, T. Wen, and S. Young. SIGDIAL Conference, page 417-421. The Association for Computer Linguistics, (2015)

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Disambiguation of "Su, Pei-Hao"

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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.

Please choose a person to relate this publication to

Hao-Wei Su

Xiaofei Hao

Wenjin Hao

Jin Hao

Jun Hao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Su, Pei-Hao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.

Please choose a person to relate this publication to

Hao-Wei Su

Xiaofei Hao

Wenjin Hao

Jin Hao

Jun Hao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.