... WtThe spoken language under-standing (SLU) module converts Wtto an abstractrepresentation of the user’s dialogue act (DA). The dialogue management (DM) module determines theuser’s dialogue ... method of dialogue act de-tection for robust spokendialogue system, we adoptthe commonly-used Wizard-of-Oz approach (Fraserand Gilbert, 1991) to harvest the Tainan-city tour-guiding dialogue ... implemented and evalu-ated in aMandarin spokendialogue system fortour-guiding service. Combined with scoresderived from the ASR recognition probabil-ity and the dialogue history, the proposed ap-proach...
... Manager for Software Interface Agents. User Modeling and User-Adapted Interaction, 8(3-4). M. Rotaru and D. Litman. 2006. Exploiting Discourse Structure for SpokenDialogue Performance Analy-sis. ... asso-ciated discourse segment purpose/intention. This theory has inspired several generic dialogue man-agers for spokendialogue systems (e.g. (Rich and Sidner, 1998)). The NM requires that we have ... 63(Special Issue on NLP). D. Litman and S. Silliman. 2004. ITSPOKE: An intelli-gent tutoring spokendialogue system. In Proc. of HLT/NAACL. S. Oviatt, R. Coulston and R. Lunsford. 2004. When...
... Annotating Student Emotional States in Spoken Tutoring Dialogues. Proc. 5th Special Interest Group on Discourse and Dialogue Workshop on Discourse and Dialogue (SIGdial). D. J. Litman and ... Computational Learning Theory: 92-100. K. Forbes-Riley and D. Litman. 2004. Predicting Emotion in SpokenDialogue from Multiple Knowledge Sources. Proceedings of Human Language Technology Conference ... Conclusion We have shown Co-training to be a promising approach for predicting emotions with spoken dialogue data. We have given an algorithm that increased the size of the training set producing...
... definition 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 ... 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 ... utterance rather than strict prediction of dialogue act sequences. Recently also keyword-based topic identification has been applied to dialogue move (dialogue act) recognition (Garner, 1997)....
... informing work on spoken dialogue systems, is somewhat at odds with previous think-ing about turn-taking. Although turn-taking behaviour is cul-turally dependent , human dialogue is generally ... This can be when thefollower is not happy for the dialogue to move on, or itcan be when the giver has just asked as a question. Ofcourse, a dialogue system using our model would beable to catch ... continuers,using only limited processing and information that isreadily available to current spokendialogue systems.Pause duration and a statistical part-of-speech languagemodel were examined...
... 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 ... constructions needed. Thedialogues with the Chung system were designedmanually, as this system is implemented for an-other domain. The order of the dialogues in a pairwas randomized. The dialogues were ... 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 spoken dialogue systems....
... capturedifferent aspects of dialogue coordination and thatexploring various formulations of entrainment de-serves future attention.3.3 Dialogue coordinationThe coordination of turn-taking in dialogue is ... the effectiveness of the dialogue. To de-termine the extent to which task success is relatedto the degree of entrainment in high-frequency wordusage, we examined 48 dialogues. We computed thecorrelation ... speakers— are generally perceived asa sign of poorly coordinated dialogues.171To determine the relationship between entrain-ment and dialogue coordination, we examined thecorrelation between entrainment...
... for 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. ... 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...
... IntroductionBuilding a robust spokendialogue system for a newtask currently requires considerable effort, includ-ing extensive data collection, grammar develop-ment, and building a dialogue manager that ... for man-aging the dialogue. The collaboration managerqueries a domain-specific task component in orderto make decisions about interpretations and re-sponses.4 TRIPS SpokenDialogue Interface ... Association for Computational LinguisticsTwo diverse systems built usinggeneric components for spoken dialogue (Recent Progress on TRIPS)James Allen, George Ferguson, Mary Swift, Amanda Stent,...
... can be used by a dialogue manager to decide appro-priate system reactions. The approach is novel incombining machine learning with n-best processingfor spokendialogue systems using ... GEMINI: a 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 ... pragmatic plausi-bility features computed from dialogue context topredict the accuracy of incoming n-best recogni-tion hypotheses to a spokendialogue system. Ourbest results show a 25% weighted...
... themodel of dialogue interaction. This model allowsfor a more natural description of dialogue prob-lems, and in particular allows for intuitive han-dling of noisy and ambiguous dialogues. Fewexisting ... AugmentedMDP) to conventional MDP dialogue strategies.2 Dialogue Systems and POMDPsA Partially Observable Markov Decision Process(POMDP) is a natural way of modelling dialogue processes, especially ... the length of each dialogue cycle.4.1 The Restricted State Space ProblemThe exact POMDP policy was generated usingthe Incremental Improvement algorithm (Cassan- Spoken Dialogue Management...
... 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 ... ex-periments on a spokendialogue systemfor command and control of a simulatedrobotic helicopter.1 IntroductionTargeted Help makes use of user utterances thatare out-of-coverage of the main dialogue ... 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....
... Infor-mation presentation in spokendialogue systems. InProceedings of EACL.James Henderson, Oliver Lemon, and KallirroiGeorgila. 2008. Hybrid reinforcement / supervisedlearning of dialogue policies ... 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 ... 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,...
... presentsa proof of concept of these ideas in the form of acomplete, working spokendialogue system. ThePOMDP dialogue manager (DM) of this demon-stration system uses a compressed belief spacethat ... GoalsThe type of SDS task that we focus on is a limited-domain query -dialogue, also known as a “slot fill-ing” task. The spokendialogue system has knowl-edge about some set of objects where these ... statistical dialogue systems. In proceedings of SIGdial.Paul A. Crook and Oliver Lemon. 2011. LosslessValue Directed Compression of Complex User GoalStates for Statistical SpokenDialogue Systems....
... 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, ... in a 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. ... also recorded the time taken to com-plete each dialogue task. We used these data tobuild a regression model to calculate total dialogue time for dialogue simulations. The strategies werenever...