... discourse segment purpose/intention. This theory has inspired several generic dialogue man-agers for spokendialoguesystems (e.g. (Rich and Sidner, 1998)). The NM requires that we have the discourse ... Schultz, E. O. Bratt, B. Clark and S. Peters. 2006. Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems. International Journal of Artificial Intelligence in Education, 16. C. Rich ... User-Adapted Interaction, 8(3-4). M. Rotaru and D. Litman. 2006. Exploiting Discourse Structure for SpokenDialogue Performance Analy-sis. In Proc. of EMNLP. M. Walker, D. Litman, C. Kamm and A. Abella....
... of context models for spokendialogue systems. 5 Conclusions The paper has presented a probabilistic topic model to be used as a context model for spokendialogue systems. The model combines ... In Dialogue Processing in Spoken Dialogue Systems, pages 60-64. Proceedings of the ECAI'96 Workshop, Budapest, Hungary. N. Reithinger and E. Maier. 1995. Utilizing statisti- cal dialogue ... that the recognition of the utterance topic is an important task of spokendialogue systems. 3 The Topic Model In AI-based dialogue modelling, topics are associ- ated with a particular discourse...
... responses in dialogue. In Cog-nitive Science 28: 811-840.M.A. Walker, R. Passonneau, and J.E. Boland. 2001. Quanti-tative and qualitative evaluation of DARPA communicator spokendialogue systems. ... users’ confidence inhaving heard about all relevant options.1 IntroductionThe goal of spokendialoguesystems (SDS) isto offer efficient and natural access to applica-tions and services, such ... training and was thusnot included in the analysis. Each dialogue pairconsisted of one dialogue between a user and oursystem and one dialogue between the same userand a system designed as described...
... evaluat-ing spokendialogue agents. In Proceedings of the ACL, 271–280 M. Walker and R. Passonneau. 2001. DATE: a dia-logue act tagging scheme for evaluation of spoken dialogue systems. In ... Discourse Understanding in Spoken Dialogue Systems. ACM Transactions on Speech and Language Processing (TSLP), Volume 1, 1-20. X. Huang, A. Acero, and H W. Hon. 2001. Spoken Language Proceeding. ... effectively deals with a variety of conversational discourse information in the spokendialogue systems. By modeling the dialogue discourse as the speech act sequence, the predictive method for speech...
... can be used by a dialogue manager to decide appro-priate system reactions. The approach is novel incombining machine learning with n-best processingfor spokendialoguesystems using the InformationState ... natural lan-guage system for spoken- language understand-ing. In Proceedings of ACL-93.Malte Gabsdil. 2003. Classifying Recognition Re-sults for SpokenDialogue Systems. In Proceed-ings of ... activities and multi-tasking in dialogue systems. Traitement Automa-tique des Langues, 43(2):131–154.Oliver Lemon. 2004. Context-sensitive speechrecognition in ISU dialogue systems: results forthe...
... explicitly mentioned in the dialogue. Accord-ing to this criterion only 44% of users in the Helpcondition and 18% of users in the No Help con-152Targeted Help for SpokenDialogue Systems: intelligent ... Rayner. 2002. Addingintelligent help to mixed-initiative spoken dialogue systems. In Proceedings of the Seventh Interna-tional Conference on Spoken Language Processing(ICSLP), Denver, CO.B.A. ... multi-tasking in dialogue systems. Traitement Automa-ague des Langues (TAL), 43(2):131 — 154. SpecialIssue on Dialogue. D. Martin, A. Cheyer, and D. Moran. 1998. Build-ing distributed software systems...
... Infor-mation presentation in spokendialogue systems. InProceedings of EACL.James Henderson, Oliver Lemon, and KallirroiGeorgila. 2008. Hybrid reinforcement / supervisedlearning of dialogue policies ... of user tailoringand cognitive load on user performance in spoken dialogue systems. In Proc. of the 10th InternationalConference of Spoken Language Processing (Inter-speech/ICSLP).SJ Young, ... generation for spoken dialogue: an experiment. In In Proc. of IC-SLP.Amanda Stent, Rashmi Prasad, and Marilyn Walker.2004. Trainable sentence planning for complex in-formation presentation in spoken...
... Situated SpokenDialogue Task. In Proc.ENLG’09.S. Janarthanam and O. Lemon. 2009c. Learning Lexi-cal Alignment Policies for Generating Referring Ex-pressions for SpokenDialogue Systems. ... Planning Under Uncertainty for Spo-ken Dialogue Systems. In Proc. EACL’09.V. Rieser and O. Lemon. 2010. Optimising informa-tion presentation for spokendialogue systems. InProc. ACL. (to appear).J. ... System User Interaction (learning)4.1 Dialogue ManagerThe dialogue manager identifies the next instruc-tion (dialogue act) to give to the user based on the dialogue management policy πdm. Since,...
... interface to study information pre-sentation strategies for spokendialogue systems. InProc. of the 1st International Workshop on Spoken Dialogue Systems. Crystal Nakatsu. 2008. Learning contrastive ... Workshop on Discourse and Dialogue. Joseph Polifroni and Marilyn Walker. 2006. Learningdatabase content for spokendialogue system design.In Proc. of the IEEE/ACL workshop on Spoken Lan-guage Technology ... Passonneau, and J. Boland. 2001. Quan-titative and qualitative evaluation of DARPA Com-municator spokendialogue systems. In Proc. ofthe Annual Meeting of the Association for Compu-tational...
... example dialogues have more primitive cousins under development today. Briefly, our example dialogue types are listed in Table 3. Dialogue with an Appliance Dialogue with an Application Dialogue ... tracking both sides of that dialogue so that either user or system can make anaphoric mention of entities introduced earlier. 3 A Near-Future Scenario of Spoken Dialogue Systems 3.1 The Scenario ... externally to analyze the agents' dialogue, as discussed in the previous section. 4 Implementations of the Architecture We have implemented two spokendialogue systems using the architecture...