|
Ai H., Litman D.2008. Assessing dialog system user simulation evaluation measures using human judges. In Proceedings of the 46th Meeting of the Association for Computational Linguistics, Columbus, OH, USA, 622–629.
Google Scholar
|
|
Ai H., Litman D.2009. Setting up user action probabilities in user simulations for dialog system development. In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL), Singapore.
Google Scholar
|
|
Anderson T.1962. On the distribution of the two-sample Cramér-von Mises criterion. Annals of Mathematical Statistics33(3), 1148–1159.
Google Scholar
|
|
Carletta J.1996. Assessing agreement on classification tasks: the kappa statistic. Computational Linguistics22(2), 249–254.
Google Scholar
|
|
Chandramohan S., Geist M., Lefèvre F., Pietquin O.2011. User Simulation in Dialogue Systems using Inverse Reinforcement Learning. In Proceedings of Interspeech 2011, Florence, Italy.
Google Scholar
|
|
Cramer H.1928. On the composition of elementary errors. Second paper: statistical applications. Skandinavisk Aktuarietidskrift11, 171–180.
Google Scholar
|
|
Cuayahuitl H., Renals S., Lemon O., Shimodaira H.2005. Human–computer dialogue simulation using hidden Markov models. In Proceedings of ASRU, 290–295. Cancun, Mexico
Google Scholar
|
|
Cuayahuitl H.2009. Hierarchical Reinforcement Learning for Spoken Dialogue Systems. PhD thesis, University of Edinburgh, UK.
Google Scholar
|
|
Doddington G.2002. Automatic evaluation of machine translation quality using n-gram cooccurrence statistics. In Proceedings of the Human Language Technology Conference (HLT), San Diego, CA, USA, 128–132.
Google Scholar
|
|
Eckert W., Levin E., Pieraccini R.1997. User modeling for spoken dialogue system evaluation. In Proceedings of ASRU'97. Santa Barbara, USA.
Google Scholar
|
|
Frampton M., Lemon O.2010. Recent research advances in reinforcement learning in spoken dialogue systems. The Knowledge Engineering Review24(4), 375–408.
Google Scholar
|
|
Georgila K., Henderson J., Lemon O.2005. Learning user simulations for information state update dialogue systems. In Proceedings of Interspeech 2005. Lisboa, Portugal.
Google Scholar
|
|
Georgila K., Henderson J., Lemon O.2006. User simulation for spoken dialogue systems: learning and evaluation. In Proceedings of Interspeech'06. Pittsburg, USA.
Google Scholar
|
|
Janarthanam S., Lemon O.2009a. A data-driven method for adaptive referring expression generation in automated dialogue systems: maximising expected utility. In Proceedings of PRE-COGSCI 09. Boston, USA.
Google Scholar
|
|
Janarthanam S., Lemon O.2009b. A two-tier user simulation model for reinforcement learning of adaptive referring expression generation policies. In Proceedings of SIGDIAL. London, UK.
Google Scholar
|
|
Janarthanam S., Lemon O.2009c. Learning adaptive referring expression generation policies for spoken dialogue systems using reinforcement learning. In Proceedings of SEMDIAL. Stockholm, Sweden.
Google Scholar
|
|
Janarthanam S., Lemon O.2009d. A Wizard-of-Oz environment to study referring expression generation in a situated spoken dialogue task. In Proceedings of ENLG, 2009. Athens, Greece.
Google Scholar
|
|
Jung S., Lee C., Kim K., Jeong M., Lee G. G.2009. Data-driven user simulation for automated evaluation of spoken dialog systems. Computer Speech & Language23(4), 479–509.
Google Scholar
|
|
Kullback S., Leiber R.1951. On information and sufficiency. Annals of Mathematical Statistics22, 79–86.
Google Scholar
|
|
Levin E., Pieraccini R., Eckert W.1997. Learning dialogue strategies within the Markov decision process framework. In Proceedings of ASRU'97. Santa Barbara, USA.
Google Scholar
|
|
Levin E., Pieraccini R., Eckert W.2000. A stochastic model of human–machine interaction for learning dialog strategies. IEEE Transactions on Speech and Audio Processing8(1), 11–23.
Google Scholar
|
|
López-Cózar R., de la Torre A., Segura J., Rubio A.2003. Assesment of dialogue systems by means of a new simulation technique. Speech Communication40(3), 387–407.
Google Scholar
|
|
Ng A. Y., Russell S.2000. Algorithms for inverse reinforcement learning. In Proceedings of 17th International Conference on Machine Learning. Morgan Kaufmann, 663–670.
Google Scholar
|
|
Paek T., Pieraccini R.2008. Automating spoken dialogue management design using machine learning: an industry perspective. Speech Communication50, 716–729.
Google Scholar
|
|
Papineni K., Roukos S., Ward T., Zhu W.2002. BLEU: a method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, 311–318.
Google Scholar
|
|
Pietquin O., Dutoit T.2006. A probabilistic framework for dialog simulation and optimal strategy learning. IEEE Transactions on Audio, Speech and Language Processing14(2), 589–599.
Google Scholar
|
|
Pietquin O., Rossignol S., Ianotto M.2009. Training Bayesian networks for realistic man–machine spoken dialogue simulation. In Proceedings of the 1st International Workshop on Spoken Dialogue Systems Technology, Irsee, Germany, 4.
Google Scholar
|
|
Pietquin O.2004. A Framework for Unsupervised Learning of Dialogue Strategies. PhD thesis, Faculté Polytechnique de Mons (FPMs), Belgium.
Google Scholar
|
|
Pietquin O.2006. Consistent goal-directed user model for realisitc man–machine task-oriented spoken dialogue simulation. In Proceedingsof ICME'06. Toronto, Canada.
Google Scholar
|
|
Rieser V.2008. Bootstrapping Reinforcement Learning-based Dialogue Strategies from Wizard-of-Oz data. PhD thesis, Saarland University, Department of Computational Linguistics.
Google Scholar
|
|
Rieser V., Lemon O.2006. Simulations for learning dialogue strategies. In Proceedings of Interspeech 2006, Pittsburg, USA.
Google Scholar
|
|
Rieser V., Lemon O.2008. Learning effective multimodal dialogue strategies from Wizard-of-Oz data: bootstrapping and evaluation. In Proceedings of ACL, 2008. Colombus, Ohio.
Google Scholar
|
|
Russell S.1998. Learning agents for uncertain environments (extended abstract). In COLT’ 98: Proceedings of the 11th Annual Conference on Computational Learning Theory. ACM, 101–103. Madisson, USA.
Google Scholar
|
|
Schatzmann J., Georgila K., Young S.2005a. Quantitative evaluation of user simulation techniques for spoken dialogue systems. In Proceedings of SIGdial'05. Lisbon, Portugal.
Google Scholar
|
|
Schatzmann J., Stuttle M. N., Weilhammer K., Young S.2005b. Effects of the user model on simulation-based learning of dialogue strategies. In Proceedings of ASRU'05. Cancun, Mexico.
Google Scholar
|
|
Schatzmann J., Thomson B., Weilhammer K., Ye H., Young S.2007a. Agenda-based user simulation for bootstrapping a POMDP dialogue system. In Proceedings of ICASSP'07. Honolulu, USA.
Google Scholar
|
|
Schatzmann J., Thomson B., Young S.2007b. Statistical user simulation with a hidden agenda. In Proceedings of SigDial'07. Anvers, Belgium.
Google Scholar
|
|
Schatzmann J., Weilhammer K., Stuttle M., Young S.2006. A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies. The Knowledge Engineering Review21(2), 97–126.
Google Scholar
|
|
Scheffler K., Young S.2001. Corpus-based dialogue simulation for automatic strategy learning and evaluation. In Proceedings of NAACL Workshop on Adaptation in Dialogue Systems. Pittsburgh, PA, USA.
Google Scholar
|
|
Singh S., Kearns M., Litman D., Walker M.1999. Reinforcement learning for spoken dialogue systems. In Proceedings of the NIPS'99. Vancouver, Canada.
Google Scholar
|
|
Sutton R., Barto A.1998. Reinforcement Learning: An Introduction. MIT Press.
Google Scholar
|
|
van Rijsbergen C. J.1979. Information Retrieval, second edn.Butterworths.
Google Scholar
|
|
Walker M., Hindle D., Fromer J., Fabbrizio G. D., Mestel C.1997a. Evaluating competing agent strategies for a voice email agent. In Proceedings of the 5th European Conference on Speech Communication and Technology (Eurospeech'97), Rhodes, Greece.
Google Scholar
|
|
Walker M., Litman D., Kamm C., Abella A.1997b. Paradise: a framework for evaluating spoken dialogue agents. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, 271–280. Madrid, Spain.
Google Scholar
|
|
Williams J. D., Young S.2007. Partially observable Markov decision processes for spoken dialog systems. Computer Speech and Language21(2), 393–422.
Google Scholar
|
|
Williams J., Poupart P., Young S.2005. Partially Observable Markov Decision Processes with Continuous Observations for Dialogue Management. In Proceedings of the SigDial Workshop (SigDial'06). Sydney, Australia.
Google Scholar
|
|
Williams J.2008. Evaluating user simulations with the Cramer-von Mises divergence. Speech Communication50, 829–846.
Google Scholar
|
|
Zukerman I., Albrecht D.2001. Predictive statistical models for user modeling. User Modeling and User-Adapted Interaction11, 5–18.
Google Scholar
|