... 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 entity, ... reliable and straighforward approximation of the utterance meaning than speech acts, and should not be ignored in the definition of context models for spokendialogue systems. 5 Conclusions ... point. For the pruned topic types, we reserved 10 ran- domly picked dialogues for testing (each test file con- tained about 400-500 test utterances), and used the other 70 dialogues for training...
... the No Help con-152Targeted Help forSpokenDialogue Systems: intelligent feedback improves naive users' performanceBeth Ann HockeyResearch Institute for AdvancedComputer Science (RIACS),NASA ... experience with spoken dialogue systems. The structure of the interactionwith the system was the same for both groups.They were given minimal written instruction onhow to use the system before the ... ex-periments on a spokendialogue system for command and control of a simulatedrobotic helicopter.1 IntroductionTargeted Help makes use of user utterances thatare out-of-coverage of the main dialogue...
... 2006. Infor-mation presentation in spokendialogue systems. InProceedings of EACL.James Henderson, Oliver Lemon, and KallirroiGeorgila. 2008. Hybrid reinforcement / supervisedlearning of dialogue ... 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 ... influence 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...
... wizard-of-oz interface to study information pre-sentation strategies forspokendialogue systems. InProc. of the 1st International Workshop on Spoken Dialogue Systems. Crystal Nakatsu. 2008. ... 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 ... Moore, andClifford Nass. 2007. The influence of user tailoringand cognitive load on user performance in spoken dialogue systems. In Proc. of the 10th InternationalConference of Spoken Language...
... 85–88, Ann Arbor, June 2005.c2005 Association for Computational LinguisticsTwo diverse systems built usinggeneric components forspoken dialogue (Recent Progress on TRIPS)James Allen, George ... 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 ... USAstent@cs.sunysb.eduAbstractThis paper describes recent progress on theTRIPS architecture for developing spoken- lan-guage dialogue systems. The interactive postersession will include demonstrations of two...
... 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 ... 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 either user ... communica- tions which get incorporated by the Context Tracker into the dialogue history. 2 An Architecture forSpoken Dialogue Systems Having introduced our three discourse compo- nents, we now...
... has inspired several generic dialogue man-agers forspokendialoguesystems (e.g. (Rich and Sidner, 1998)). The NM requires that we have the discourse structure information at runtime. To do ... Interaction, 8(3-4). M. Rotaru and D. Litman. 2006. Exploiting Discourse Structure forSpokenDialogue Performance Analy-sis. In Proc. of EMNLP. M. Walker, D. Litman, C. Kamm and A. Abella. ... and noNM ratings were run for each con-dition (“s”/“t”marks significant/trend differences). Results for Q1-6 Questions Q1-6 were inspired by previous work on spokendialogue system evaluation...
... Information Presentation in SpokenDialogue Systems Vera DembergInstitute for Natural Language Processing (IMS)University of StuttgartD-70174 ... Developing a flexible spoken dialog systemusing simulation. In Proc. of ACL ’04.V. Demberg. 2005. Information presentation in spoken di-alogue systems. Master’s thesis, School of Informatics,University ... relevant criteria for laterin the dialogue. Thus, the branching criterion for the first level of the tree is the attribute that has thehighest weight according to the user model. For example, Figure...
... single dialogue act. Multiple is for utterances annotated with more thanone dialogue act, and Overall indicates the performanceover the entire set. P stands for precision, R for recall,and F for ... right those for theutterances annotated with multiple dialogue acts. Each dialogue act class typically contains several more specific dialogue acts that include domain-specific semantics (for example, ... correspond-ing to the dialogue acts identified in the dataset.with a dialogue act. The method addresses the prob-lem that, in development of new scenarios for con-versational dialogue systems, there...
... framework 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. ... of conversational discourse information in the spokendialogue systems. By modeling the dialogue discourse as the speech act sequence, the predictive method for speech act identification is ... method, a spoken dialogue system for medical domain with multiple services was investigated. Three main services: registration information service, clinic information service, and FAQ information...
... used by a dialogue manager to decide appro-priate system reactions. The approach is novel incombining machine learning with n-best processing for 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 forSpokenDialogue Systems. In Proceed-ings of ... 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 for the grammar...
... Speech-Plans:Generating evaluative responses in spoken dialogue. InIn Proceedings of INLG-02.MATCH: An Architecture for Multimodal Dialogue Systems Michael Johnston, Srinivas Bangalore, Gunaranjan ... vocabulary for multimodal and pen-based commands.Gestures are represented in the ink meaning lat-tice as symbol complexes of the following form: GFORM MEANING (NUMBER TYPE) SEM. FORMindicates ... informa-tion about required and optional roles for differenttypes of actions); if it is not, then the system’s nextmove is to take the initiative and start an information-gathering subdialogue....
... Planning Under Uncertainty for Spo-ken Dialogue Systems. In Proc. EACL’09.V. Rieser and O. Lemon. 2010. Optimising informa-tion presentation forspokendialogue systems. InProc. ACL. (to ... Situated SpokenDialogue Task. In Proc.ENLG’09.S. Janarthanam and O. Lemon. 2009c. Learning Lexi-cal Alignment Policies for Generating Referring Ex-pressions forSpokenDialogue Systems. ... consistentuser simulations for dialog systems. In Proceedingsof Interspeech 2007, Antwerp, Belgium.T. Akiba and H. Tanaka. 1994. A Bayesian approach for User Modelling in Dialogue Systems. In Pro-ceedings...
... LuperFoy, editors, Dialogue Processing in Spoken Language Systems, pages 86-99. Springer-Verlag. Alon Lavie. 1996. GLR* : A Robust Grammar-Focused Parser for Spontaneously Spoken Language. Ph.D. ... Heeman. 1997. Utterance units in spoken dialogue. In Elisabeth Maier, Marion Mast, and Susann LuperFoy, editors, Dialogue Pro- cessing in Spoken Language Systems, pages 125-140. Springer-Verlag. ... conducted a preliminary experiment to in- vestigate how ISSS improves the performance of spoken dialogue systems. Two systems were com- 205 enables incremental understanding of user utter- ances...