pomdpbased statistical spoken dialogue systems a review
Tài liệu Báo cáo khoa học: "The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems" ppt
... Uncertainty in Spoken Tutorial Dialogue Systems. International Journal of Artificial Intelligence in Education, 16. C. Rich and C. L. Sidner. 1998. COLLAGEN: A Col-laboration Manager for Software ... tutoring task. In addition, the SIH is not always available and users have to activate it manually. Other visual improvements for dialogue- based computer tutors have been explored in the past (e.g. ... that naïve users can reliably annotate the informa-tion needed for the NM (Passonneau and Litman, 1993). Our NM design choices should also have an equivalent in a new domain (e.g. displaying...
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Báo cáo khoa học: "A Statistical Spoken Dialogue System using Complex User Goals and Value Directed Compression" pptx
... European Chapter of the Association for Computational Linguistics, pages 46–50,Avignon, France, April 23 - 27 2012.c2012 Association for Computational Linguistics A Statistical Spoken Dialogue ... dialogue ac-tion (e.g. offer a restaurant, ask for clarification).Recent research in statistical SDSs has success-fully addressed aspects of these problems throughthe application of Partially ... sys-tems computationally tractable.Work in dialogue system evaluation, e.g.Walker et al. (2004) and Lemon et al. (2006),shows that real user goals are generally sets ofitems, rather than a single...
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Báo cáo khoa học: "Learning to Generate Naturalistic Utterances Using Reviews in Spoken Dialogue Systems" ppt
... Kathleen McKeo wn. 2001. Extr actingparaphrases from a parallel corpus. In Proc. 39th ACL,pages 50–57.Hamish Cunningham, Diana Maynard, Kalina Bontcheva,and Valentin Tablan. 2002. GATE: A ... valuequalityRESTAURANT has atmospherequalityRESTAURANT has overallqualityRESTAURANT has foodtypeRESTAURANT has locationWe assume that, although users may discussother attributes of the entity, at least ... pages 164–171.Regina Barzilay and Lillian Lee. 2003. Learning toparaphrase: An unsupervised approach using multiple-sequence a lignment. In Proc. HLT/NAACL, pages 16–23.Regina Barzilay and...
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Tài liệu Báo cáo khoa học: "Context Management with Topics for Spoken Dialogue Systems" pptx
... management for spoken dialogue systems. Finally, statistical modelling is prone to sparse data problems, and we need to consider ways to overcome inaccuracies in calculating mutual information. ... test utterances), and used the other 70 dialogues for training in each test cycle. The average accuracy rate, 78.68 % is a satisfactory result. We also did another set of cross-validation tests ... recognition of the utterance topic is an important task of spoken dialogue systems. 3 The Topic Model In AI-based dialogue modelling, topics are associ- ated with a particular discourse entity,...
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Tài liệu Báo cáo khoa học: "Information Presentation in Spoken Dialogue Systems" potx
... efficient and natural access to applica-tions and services, such as email and calendars,travel and entertainment booking, and product rec-ommendation. In evaluating nine SDS in theDARPA Communicator ... designedmanually, as this system is implemented for an-other domain. The order of the dialogues in a pairwas randomized. The dialogues were provided astranscripts.After reading each dialogue transcript, ... in-formation is given about the cluster. All positivehomogeneous attributes are mentioned and con-trasted against all average or negative attributes.An attribute that was used for identification...
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Báo cáo khoa học: "Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs" pdf
... machines. In HLT-03. R. Higashinaka, N. Miyazaki, M. Nakano, and K. Ai-kawa. 2004. Evaluating Discourse Understanding in Spoken Dialogue Systems. ACM Transactions on Speech and Language ... conver-sational speech. Computational Linguistics 26(3), 339 373. M. A. Walker, D. Litman, C. Kamm, and A. Abella, 1997. PARADISE: a general framework for evaluat-ing spoken dialogue agents. ... such as semantic relation, semantic class and semantic role are adopted in the semantic dependency graph (Gildea and Jurasfky, 2002; Hacioglu and Ward, 2003). The semantic relations constrain...
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Báo cáo khoa học: "Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems" pdf
... Computer-Human Interaction.(to appear).Oliver Lemon, Alexander Gruenstein, and StanleyPeters. 2002. Collaborative activities and multi-tasking in dialogue systems. Traitement Automa-tique des Langues, ... http://www.talk-project.orgWalter Daelemans and V´eronique Hoste. 2002.Evaluation of Machine Learning Methods forNatural Language Processing Tasks. In Proceed-ings of LREC-02.Walter Daelemans, Jakub Zavrel, Ko van ... misrecognitions) and promotingoverall dialogue efficiency, flow, and naturalness.In this paper, we investigate the use of machinelearners trained on a combination of acoustic confi-dence and pragmatic plausibility...
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Báo cáo khoa học: "Targeted Help for Spoken Dialogue Systems: intelligent feedback improves naive users'''' performance" pdf
... with a dialogue system is to use a grammar-based language model and assist usersin becoming expert as quickly as possible. Thisapproach takes advantage of the strengths of bothtypes of language ... part of a spoken dialogue sys-tem, grammar based recognizers tuned to a do-main perform very well, in fact better than com-parable Statistical Language Models (SLMs) forin-coverage utterances ... Systems: interaction, adaptation andstyles of management, page (in press).Oliver Lemon, Anne Bracy, Alexander Gruenstein, andStanley Peters. 2001. Information states in a multi-modal dialogue system...
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Báo cáo khoa học: "Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems" pptx
... 28:811840.Marilyn Walker, Amanda Stent, Francáois Mairesse, andRashmi Prasad. 2007. Individual and domain adap-tation in sentence planning for dialogue. Journal ofArtificial Intelligence Research (JAIR), ... IC-SLP.Amanda Stent, Rashmi Prasad, and Marilyn Walker.2004. Trainable sentence planning for complex in-formation presentation in spoken dialog systems. InAssociation for Computational Linguistics.R. ... Sutton and A. Barto. 1998. Reinforcement Learn-ing. MIT Press.Marilyn A. Walker, Candace A. Kamm, and Diane J.Litman. 2000. Towards developing general mod-els of usability with PARADISE. Natural...
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Báo cáo khoa học: "Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems" ppt
... Learning what to say and how to sayit: joint optimization of spoken dialogue manage-ment and Natural Language Generation. ComputerSpeech and Language. (to appear).E. Levin, R. Pieraccini, and ... Spoken Dialogue Systems Srinivasan JanarthanamSchool of InformaticsUniversity of Edinburghs.janarthanam@ed.ac.ukOliver LemonInteraction LabMathematics and Computer Science (MACS)Heriot-Watt ... expressions(r))#(instances(r))AdaptationAccuracyAA =1#(r)ΣrRArNote that this reward is computed at the end ofthe dialogue (it is a ‘final’ reward), and is thenback-propagated along the action sequence thatled to that...
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Báo cáo khoa học: "Optimising Information Presentation for Spoken Dialogue Systems" pdf
... Saffrani, which is also an Indian restaurant, is in the moderate price range.COMPARE byAttributeThe restaurant called Kebab Mahal and the restaurant called Saffrani are both Indian restaurants.However, ... Compu-tational Linguistics (ACL).Marilyn Walker, Amanda Stent, Francáois Mairesse, andRashmi Prasad. 2007. Individual and domain adap-tation in sentence planning for dialogue. Journal ofArtificial ... Workshop on Natural Language Generation(ENLG).Marilyn A. Walker, Candace A. Kamm, and Diane J.Litman. 2000. Towards developing general mod-els of usability with PARADISE. Natural LanguageEngineering,...
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Báo cáo khoa học: "An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Spoken Dialogue Systems" pot
... Natural ~ Context 'Language Tracking aterpretation (on Input) Natural Language Generation Dialogue Manager Pragmatic Adaptation (on Input) Back-End " ~ Pragmatic Adaptation ... in Table 3. Dialogue with an Appliance Dialogue with an Application Dialogue with an Intelligent Robot Computer Mediation of Human Dialogue Computer Analysis of Human Dialogue ... In fact, it was first developed for bilingual dialogue in a voice-to-voice machine translation application. In this application, the Dialogue Manager is available for meta- dialogues with...
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Báo cáo khoa học: "Understanding Unsegmented User Utterances in Real-Time Spoken Dialogue Systems" doc
... Conference on Applied Nat- ural Language Processing, pages 193-200. Yoshiaki Noda, Yoshikazu Yamaguchi, Tomokazu Ya- mada, Akihiro Imamura, Satoshi Takahashi, Tomoko Matsui, and Kiyoaki Aikawa. 1998. ... Understanding Unsegmented User Utterances in Real-Time Spoken Dialogue Systems Mikio Nakano, Noboru Miyazaki, Jun-ichi Hirasawa, Kohji Dohsaka, Takeshi Kawabata* NTT Laboratories 3-1 Morinosato-Wakamiya, ... spoken dialog. In Proceedings of ACL/EACL-97. Jun-ichi Hirasawa, Noboru Miyazaki, Mikio Nakano, and Takeshi Kawabata. 1998. Implementation of coordi- native nodding behavior on spoken dialogue...
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Báo cáo khoa học: "Importance-Driven Turn-Bidding for Spoken Dialogue Systems" potx
... choice will be available, in which we sayit has inadequate filler knowledge. This assuresthat at least one of the user’s filler is available.Whether a user has adequate or inadequate fillerknowledge ... conversantturn-cues. A computational prototype using Re-inforcement Learning to choose appropriate turn-bids performs better than the standard KR and SUapproaches in an artificial collaborative dialogue domain. ... mixed-initiative interac-tion, and with it, greater dialogue efficiency.We compare the IDTB model to current turn-taking approaches. Using an artificial collab-orative dialogue task, we show that the...
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Báo cáo khoa học: "Simulating the Behaviour of Older versus Younger Users when Interacting with Spoken Dialogue Systems" pdf
... 3-grams because they sufferless from data sparsity than 4- and 5-grams and takeinto account larger contexts than 2-grams. However,results are similar for all values of n.The actions generated ... has built statistical usersimulation models for older people. The only sta-tistical spoken dialogue system for older people weare aware of is Nursebot, an early application of sta-tistical ... cover the range ofvariation seen in real users (Schatzmann et al., 2005;Georgila et al., 2006). Furthermore, SUs are criticalfor evaluating candidate dialogue policies.To date, several techniques...
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