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20 Feb 2018: In Proc. of IEEE/ACL SLT, Palm Beach, Aruba. E. Levin, R. ... InProc. of IEEE/ACL SLT, Palm Beach, Aruba.

20 Feb 2018: 5] O. Lemon, K. Georgila, and J. Henderson, “Evaluating Effec-tiveness and Portability of Reinforcement Learned DialogueStrategies with real users: the TALK TownInfo Eval,” inProc.of SLT, Palm Beach, Aruba, 2006. ... 21, no. 2, pp. 231–422, 2007.

20 Feb 2018: In Proc. of IEEE/ACL SLT,Palm Beach, Aruba. E. Levin, R. Pieraccini, and W. ... S. Young. 2006. Using POMDPs for Dialog Manage-ment. In Proc. of IEEE/ACL SLT, Palm Beach, Aruba.

20 Feb 2018: InProc. of SLT, Palm Beach, Aruba. E. Levin, R. Pieraccini, and W.

20 Feb 2018: IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 17, NO. 4, MAY 2009 733. The Hidden Agenda User Simulation ModelJost Schatzmann and Steve Young, Fellow, IEEE. Abstract—A key advantage of taking a statistical approachto spoken

20 Feb 2018: IEEE TRANS. ON AUDIO, SPEECH & LANGUAGE PROCESSING, VOL? , NO? , MONTH? YEAR? 1. Scaling POMDPs for spoken dialog management. Abstract— Control in spoken dialog systems is challenginglargely because automatic speech recognition is unreliable

20 Feb 2018: Available online at www.sciencedirect.comCOMPUTER. Computer Speech and Language 24 (2010) 150–174. www.elsevier.com/locate/csl. SPEECH ANDLANGUAGE. The Hidden Information State model: A practical framework forPOMDP-based spoken dialogue management.

20 Feb 2018: PROC IEEE, VOL. 101, NO. 5, 1160-1179, 2013 1. POMDP-based Statistical Spoken DialogueSystems: a Review. Steve Young, Fellow, IEEE, Milica Gašić, Member, IEEE, Blaise Thomson, Member, IEEE,and Jason D Williams, Member, IEEE. (Invited Paper).

20 Feb 2018: Stochastic Language Generation in Dialogueusing Factored Language Models. François Mairesse University of Cambridge. Steve Young University of Cambridge. Most previous work on trainable language generation has focused on two paradigms: (a)using a