Partially observable Markov decision processes for spoken dialog systems
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[1] Kalina Bontcheva,et al. Human Language Technologies , 2009, Semantic Knowledge Management.
[2] Alexander I. Rudnicky,et al. Sorry, I Didn’t Catch That! , 2008 .
[3] Hui Ye,et al. The Hidden Information State Approach to Dialog Management , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[4] Kevin P. Murphy,et al. A Survey of POMDP Solution Techniques , 2000 .
[5] Steve Young,et al. Scaling POMDPs for dialog management with composite summary point-based value iteration (CSPBVI) , 2006 .
[6] Jason D. Williams,et al. Partially Observable Markov Decision Processes for Spoken Dialogue Management , 2006 .
[7] Pascal Poupart,et al. Partially Observable Markov Decision Processes with Continuous Observations for Dialogue Management , 2008, SIGDIAL.
[8] J.D. Williams,et al. Scaling up POMDPs for Dialog Management: The ``Summary POMDP'' Method , 2005, IEEE Workshop on Automatic Speech Recognition and Understanding, 2005..
[9] Pascal Poupart,et al. Factored partially observable Markov decision processes for dialogue management , 2005 .
[10] Alexander I. Rudnicky,et al. A principled approach for rejection threshold optimization in spoken dialog systems , 2005, INTERSPEECH.
[11] Jesse Hoey,et al. Solving POMDPs with Continuous or Large Discrete Observation Spaces , 2005, IJCAI.
[12] Nikos A. Vlassis,et al. Perseus: Randomized Point-based Value Iteration for POMDPs , 2005, J. Artif. Intell. Res..
[13] Gabriel Skantze,et al. Exploring human error recovery strategies: Implications for spoken dialogue systems , 2005, Speech Communication.
[14] Roberto Pieraccini,et al. Where do we go from here? Research and Commercial Spoken Dialog Systems , 2005, SIGDIAL.
[15] Alexander I. Rudnicky,et al. Sorry and I Didn’t Catch That! - An Investigation of Non-understanding Errors and Recovery Strategies , 2005, SIGDIAL.
[16] Kallirroi Georgila,et al. Hybrid reinforcement/supervised learning for dialogue policies from COMMUNICATOR data , 2005 .
[17] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[18] Steve J. Young,et al. Characterizing task-oriented dialog using a simulated ASR chanel , 2004, INTERSPEECH.
[19] Oliver Lemon,et al. Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems , 2004, ACL.
[20] Olivier Pietquin,et al. A Framework for Unsupervised Learning of Dialogue Strategies , 2004 .
[21] B. Hawkins,et al. A framework: , 2020, Harmful Interaction between the Living and the Dead in Greek Tragedy.
[22] Steve Young,et al. A Framework for Wizard-of-Oz Experiments with a Simulated ASR-Channel , 2004 .
[23] Mikio Nakano,et al. Learning dialogue policies using state aggregation in reinforcement learning , 2004, INTERSPEECH.
[24] I. Lane,et al. Cooperative Dialogue Planning with User and Situation Models via Example-based Training , 2004 .
[25] Alex Acero,et al. Estimating speech recognition error rate without acoustic test data , 2003, INTERSPEECH.
[26] Joelle Pineau,et al. Point-based value iteration: An anytime algorithm for POMDPs , 2003, IJCAI.
[27] Mikio Nakano,et al. Corpus-Based Discourse Understanding in Spoken Dialogue Systems , 2003, ACL.
[28] Julia Hirschberg,et al. Proceedings of the ISCA Tutorial and Research Workshop on Error Handling in Spoken Dialogue Systems , 2003 .
[29] Gabriel Skantze. Exploring Human Error Handling Strategies : Implications for Spoken Dialogue Systems , 2003 .
[30] Julia Hirschberg,et al. Detecting Misrecognitions and Corrections in Spoken Dialogue Systems from ‘Aware’ Sites , 2003 .
[31] S. Singh,et al. Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System , 2011, J. Artif. Intell. Res..
[32] Alexander I. Rudnicky,et al. Integrating Multiple Knowledge Sources for Utterance-Level Confidence Annotation in the CMU Communicator Spoken Dialog System , 2002 .
[33] Olivier Pietquin,et al. ASR system modeling for automatic evaluation and optimization of dialogue systems , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[34] Steve Young,et al. Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning , 2002 .
[35] Baining Guo,et al. Spoken dialogue management as planning and acting under uncertainty , 2001, INTERSPEECH.
[36] Rong Zhang,et al. Is this conversation on track? , 2001, INTERSPEECH.
[37] Bhiksha Raj,et al. A boosting approach for confidence scoring , 2001, INTERSPEECH.
[38] Lynette Hirschman,et al. Comparing Several Aspects of Human-Computer and Human-Human Dialogues , 2001, SIGDIAL Workshop.
[39] D. Litman,et al. Predicting User Reactions to System Error , 2001, ACL.
[40] Emiel Krahmer,et al. Error Detection in Spoken Human-Machine Interaction , 2001, Int. J. Speech Technol..
[41] Finn V. Jensen,et al. Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.
[42] Eric Horvitz,et al. Continuous listening for unconstrained spoken dialog , 2000, INTERSPEECH.
[43] Eric Horvitz,et al. Deeplistener: harnessing expected utility to guide clarification dialog in spoken language systems , 2000, INTERSPEECH.
[44] Joelle Pineau,et al. Spoken Dialogue Management Using Probabilistic Reasoning , 2000, ACL.
[45] Staffan Larsson,et al. Information state and dialogue management in the TRINDI dialogue move engine toolkit , 2000, Natural Language Engineering.
[46] Shimei Pan,et al. Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System , 2000, AAAI/IAAI.
[47] Joelle Pineau,et al. Fast reinforcement learning of dialog strategies , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[48] Gunnar Evermann,et al. Posterior probability decoding, confidence estimation and system combination , 2000 .
[49] S. Young. Probabilistic methods in spoken–dialogue systems , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[50] James H. Martin,et al. Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 2nd Edition , 2000, Prentice Hall series in artificial intelligence.
[51] Joelle Pineau,et al. Spoken Dialog Management for Robots , 2000, ACL 2000.
[52] Roberto Pieraccini,et al. A stochastic model of human-machine interaction for learning dialog strategies , 2000, IEEE Trans. Speech Audio Process..
[53] Emiel Krahmer,et al. Problem spotting in human-machine interaction , 1999, EUROSPEECH.
[54] Marilyn A. Walker,et al. AUTOMATIC PREDICTION OF PROBLEMATIC HUMAN-COMPUTER DIALO GUES IN 'HOW MAY I HELP YOU? , 1999 .
[55] Gareth M. James,et al. Challenges For Spoken Dialogue Systems , 1999 .
[56] James R. Glass,et al. Confidence scoring for speech understanding systems , 1998, ICSLP.
[57] Marilyn A. Walker,et al. Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email , 1998, COLING-ACL.
[58] Eric A. Hansen,et al. Solving POMDPs by Searching in Policy Space , 1998, UAI.
[59] Roberto Pieraccini,et al. Using Markov decision process for learning dialogue strategies , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[60] Leslie Pack Kaelbling,et al. Planning and Acting in Partially Observable Stochastic Domains , 1998, Artif. Intell..
[61] Thomas Schaaf,et al. Estimating confidence using word lattices , 1997, EUROSPEECH.
[62] Roberto Pieraccini,et al. A stochastic model of computer-human interaction for learning dialogue strategies , 1997, EUROSPEECH.
[63] Marilyn A. Walker,et al. PARADISE: A Framework for Evaluating Spoken Dialogue Agents , 1997, ACL.
[64] Ben J. A. Kröse,et al. Learning from delayed rewards , 1995, Robotics Auton. Syst..
[65] Leslie Pack Kaelbling,et al. Acting Optimally in Partially Observable Stochastic Domains , 1994, AAAI.
[66] Roger K. Moore. Computer Speech and Language , 1986 .