{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T07:40:43Z","timestamp":1689579643577},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2014,10,15]],"date-time":"2014-10-15T00:00:00Z","timestamp":1413331200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1007\/s10772-014-9244-6","type":"journal-article","created":{"date-parts":[[2014,10,14]],"date-time":"2014-10-14T08:36:30Z","timestamp":1413275790000},"page":"309-323","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Dialogue POMDP components (part I): learning states and observations"],"prefix":"10.1007","volume":"17","author":[{"given":"Hamid R.","family":"Chinaei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brahim","family":"Chaib-draa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,10,15]]},"reference":[{"key":"9244_CR1","unstructured":"Atrash, A., & Pineau, J. (2010). A Bayesian method for learning POMDP observation parameters for robot interaction management systems. In The POMDP practitioners workshop."},{"key":"9244_CR2","doi-asserted-by":"crossref","unstructured":"Blei, D. (2012). Introduction to probabilistic topic models. Communications of the ACM, 55(4), 77\u201384.","DOI":"10.1145\/2133806.2133826"},{"key":"9244_CR3","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993\u20131022.","journal-title":"Journal of Machine Learning Research"},{"key":"9244_CR4","unstructured":"Chinaei, H. R., Chaib-draa, B., & Lamontagne, L. (2009). Learning user intentions in spoken dialogue systems. In Proceedings of the 1st International Conference on Agents and Artificial Intelligence (ICAART\u201909), Porto, Portugal."},{"key":"9244_CR5","first-page":"691","volume":"12","author":"J Choi","year":"2011","unstructured":"Choi, J., & Kim, K.-E. (2011). Inverse reinforcement learning in partially observable environments. Journal of Machine Learning Research, 12, 691\u2013730.","journal-title":"Journal of Machine Learning Research"},{"issue":"2","key":"9244_CR6","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1007\/s11704-009-0062-y","volume":"4","author":"A Daud","year":"2010","unstructured":"Daud, A., Li, J., Zhou, L., & Muhammad, F. (2010). Knowledge discovery through directed probabilistic topic models: A survey. Frontiers of Computer Science in China, 4(2), 280\u2013301.","journal-title":"Frontiers of Computer Science in China"},{"key":"9244_CR7","doi-asserted-by":"crossref","unstructured":"Doshi, F., & Roy, N. (2007). Efficient model learning for dialog management. In Proceedings of the 2nd ACM SIGCHI\/SIGART conference on Human-Robot Interaction (HRI\u201907), Arlington, Virginia, USA.","DOI":"10.1145\/1228716.1228726"},{"issue":"4","key":"9244_CR8","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1080\/09540090802413145","volume":"20","author":"F Doshi","year":"2008","unstructured":"Doshi, F., & Roy, N. (2008). Spoken language interaction with model uncertainty: An adaptive human-robot interaction system. Connection Science, 20(4), 299\u2013318.","journal-title":"Connection Science"},{"key":"9244_CR9","unstructured":"Ga\u0161i\u0107, M. (2011). Statistical dialogue modelling. PhD thesis, Department of Engineering, University of Cambridge."},{"key":"9244_CR10","unstructured":"Gruber, A., & Popat, A. (2007). Notes regarding computations in open htmm. http:\/\/openhtmm.googlecode.com\/files\/htmm_computations.pdf"},{"key":"9244_CR11","unstructured":"Gruber, A., Rosen-Zvi, M., & Weiss, Y. (2007). Hidden topic Markov models. In Artificial intelligence and statistics (AISTATS\u201907), San Juan, Puerto Rico, USA."},{"issue":"1\u20132","key":"9244_CR12","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/S0004-3702(98)00023-X","volume":"101","author":"L Kaelbling","year":"1998","unstructured":"Kaelbling, L., Littman, M., & Cassandra, A. (1998). Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101(1\u20132), 99\u2013134.","journal-title":"Artificial Intelligence"},{"key":"9244_CR13","doi-asserted-by":"crossref","unstructured":"Ko, Y., & Seo, J. (2004). Learning with unlabeled data for text categorization using bootstrapping and feature projection techniques. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics (ACL\u201904), Barcelona, Spain.","DOI":"10.3115\/1218955.1218988"},{"key":"9244_CR14","doi-asserted-by":"crossref","unstructured":"Matsubara, S., Kimura, S., Kawaguchi, N., Yamaguchi, Y., & Inagaki, Y. (2002). Example-based speech intention understanding and its application to in-car spoken dialogue system. In Proceedings of the 19th International Conference on Computational linguistics (Vol. 1), Taipei, Taiwan.","DOI":"10.3115\/1072228.1072335"},{"key":"9244_CR15","unstructured":"Ng, A. Y., & Russell, S. J. (2000). Algorithms for inverse reinforcement learning. In Proceedings of the 17th International Conference on Machine Learning (ICML\u201900), Stanford, CA, USA."},{"issue":"8","key":"9244_CR16","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1016\/j.specom.2008.03.010","volume":"50","author":"T Paek","year":"2008","unstructured":"Paek, T., & Pieraccini, R. (2008). Automating spoken dialogue management design using machine learning: An industry perspective. Speech Communication, 50(8), 716\u2013729.","journal-title":"Speech Communication"},{"key":"9244_CR17","unstructured":"Pineau, J., Gordon, G., & Thrun, S. (2003). Point-based value iteration: An anytime algorithm for POMDPs. In International Joint Conference on Artificial Intelligence (IJCAI\u201903), Acapulco, Mexico."},{"issue":"2","key":"9244_CR18","first-page":"124","volume":"16","author":"J Pineau","year":"2011","unstructured":"Pineau, J., West, R., Atrash, A., Villemure, J., & Routhier, F. (2011). On the feasibility of using a standardized test for evaluating a speech-controlled smart wheelchair. International Journal of Intelligent Control and Systems, 16(2), 124\u2013131.","journal-title":"International Journal of Intelligent Control and Systems"},{"key":"9244_CR19","doi-asserted-by":"crossref","unstructured":"Png, S. & Pineau, J. (2011). Bayesian reinforcement learning for POMDP-based dialogue systems. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP\u201911), Prague, Czech Republic.","DOI":"10.1109\/ICASSP.2011.5946754"},{"key":"9244_CR20","doi-asserted-by":"crossref","unstructured":"Png, S., Pineau, J., & Chaib-Draa, B. (2012). Building adaptive dialogue systems via bayes-adaptive POMDPs. IEEE Journal of Selected Topics in Signal Processing, 6(8), 917\u2013927.","DOI":"10.1109\/JSTSP.2012.2229962"},{"key":"9244_CR21","unstructured":"Rabiner, L. R. (1990). Readings in speech recognition. In Chapter A tutorial on hidden Markov models and selected applications in speech recognition (pp. 267\u2013296). San Francisco, CA, USA: Morgan Kaufmann Publishers Inc."},{"key":"9244_CR22","doi-asserted-by":"crossref","unstructured":"Roy, N., Pineau, J., & Thrun, S. (2000). Spoken dialogue management using probabilistic reasoning. In Proceedings of the 38th Annual Meeting on Association for Computational Linguistics (ACL\u201900), Hong Kong.","DOI":"10.3115\/1075218.1075231"},{"key":"9244_CR23","unstructured":"Thomson, B. (2009). Statistical methods for spoken dialogue management. PhD thesis, Department of Engineering, University of Cambridge."},{"key":"9244_CR24","unstructured":"Weilhammer, K., Williams, J. D., & Young, S. (2004). The SACTI-2 corpus: Guide for research users. Cambridge University. Technical report."},{"key":"9244_CR25","unstructured":"Williams, J. D. (2006). Partially observable Markov decision processes for spoken dialogue management. PhD thesis, Department of Engineering, University of Cambridge."},{"key":"9244_CR26","unstructured":"Williams, J. D., & Young, S. (2005). The SACTI-1 corpus: Guide for research users. Department of Engineering, University of Cambridge. Technical report."},{"key":"9244_CR27","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.csl.2006.06.008","volume":"21","author":"JD Williams","year":"2007","unstructured":"Williams, J. D., & Young, S. (2007). Partially observable Markov decision processes for spoken dialog systems. Computer Speech and Language, 21, 393\u2013422.","journal-title":"Computer Speech and Language"},{"key":"9244_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, B., Cai, Q., Mao, J., Chang, E., & Guo, B. (2001a). Spoken dialogue management as planning and acting under uncertainty. In Proceedings of the 9th European Conference on Speech Communication and Technology (Eurospeech\u201901), Aalborg, Denmark.","DOI":"10.21437\/Eurospeech.2001-511"},{"key":"9244_CR29","unstructured":"Zhang, B., Cai, Q., Mao, J., & Guo, B. (2001b). Planning and acting under uncertainty: A new model for spoken dialogue system. In Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (UAI\u201901), Seattle, Washington, USA."}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-014-9244-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10772-014-9244-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-014-9244-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T07:14:50Z","timestamp":1689578090000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10772-014-9244-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10,15]]},"references-count":29,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2014,12]]}},"alternative-id":["9244"],"URL":"https:\/\/doi.org\/10.1007\/s10772-014-9244-6","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"value":"1381-2416","type":"print"},{"value":"1572-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,10,15]]}}}