... June 19-24, 2011.c2011 Association for Computational LinguisticsSemantic Information and Derivation Rules for Robust Dialogue ActDetection in a SpokenDialogue SystemWei-Bin Liang1Chung-Hsien ... 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 ... computed.Figure 2: An example of a dialogue management mod-ule using n-gram model fordialogue act sequence in thedomain of historic spot.3 ASR Score and History Score For the ASR score, we use the...
... performance end end average_performance and keep average_performance end B = best average_performance bestFeatures B ∪ bestFeatures end Figure 2. Implemented algorithm for forward ... Wrappers for Feature Subset Selection. Artificial Intelligence, Volume 97, Issue 1-2. D. J. Litman and K. Forbes-Riley, 2004. Annotating Student Emotional States in Spoken Tutoring Dialogues. ... Interest Group on Discourse and Dialogue Workshop on Discourse and Dialogue (SIGdial). D. J. Litman and S. Silliman, 2004. ITSPOKE: An Intelligent Tutoring SpokenDialogue System. Companion Proceedings...
... 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 ... fact that the information content of the utterances is ignored. Consistency of the information exchanged in (task- oriented) conversations is one of the main sources for dialogue coherence, ... shifts of attention, we seek a formalisation of the information structure of utterances in terms of the new information that is exchanged in the course of the dialogue. The purpose of our...
... 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 ... 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 ... framework for man-aging the dialogue. The collaboration managerqueries a domain-specific task component in orderto make decisions about interpretations and re-sponses.4 TRIPS Spoken Dialogue...
... 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...
... 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 ... 2006. Infor-mation presentation in spokendialogue systems. InProceedings of EACL.James Henderson, Oliver Lemon, and KallirroiGeorgila. 2008. Hybrid reinforcement / supervisedlearning of dialogue ... simulationUser simulations are commonly used to trainstrategies forDialogue Management, see for ex-ample (Young et al., 2007). A user simulation for NLG is very similar, in that it is a predictive modelof...
... ./usr/local/ilagent/bin/ilagentdTo stop Endpoint Security Agent: °Type the following command to stop Endpoint Security Agent: [root@localhost root] # ./usr/local/ilagent/bin/ilagentd shutdown ... section.Endpoint Security Agentfor Linux 25[root@localhost root] # ./usr/local/ilagent/bin/ilagentd shutdown -c <config_file>[root@localhost root] # ./usr/local/ilagent/bin/ilagentd -c <config_file>Using ... by other U.S. Patents, foreign Endpoint Security Agentfor Linux 7Endpoint Security Agentfor Linux 7To manage Linux computer groups:1. Create a user catalog and group for Linux computers....
... for Software Interface Agents. User Modeling and User-Adapted Interaction, 8(3-4). M. Rotaru and D. Litman. 2006. Exploiting Discourse Structure forSpokenDialogue Performance Analy-sis. In ... has inspired several generic dialogue man-agers forspokendialogue systems (e.g. (Rich and Sidner, 1998)). The NM requires that we have the discourse structure information at runtime. To do ... present, it is easier for users to integrate the current question to the discussion so far (Q10, trend). For Q10, there is no difference for F users but a sig-nificant one for S users. We hypothesize...
... context of 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 ... (2002) describework on building spokendialogue systems for convers-ing with mobile robots, and this is a setting where com-plex instructions naturally arise. For example, in onescenario,1 ... based on human dia-logue data, for predicting where to place backchannelfeedback. The model deliberately requires only simpleprocessing on information that spokendialogue sys-tems already keep...
... Information Presentation in SpokenDialogue SystemsVera DembergInstitute for Natural Language Processing (IMS)University of StuttgartD-70174 ... lead to a more informed choice and de-crease the risk that the user does not find the opti-mal option.4 ImplementationOur approach was implemented within a spoken dialogue system for flight booking. ... 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...