... 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 and C. L. Sidner. ... result, the instruction did not match the initial essay quality. Nonetheless, in the open-question interviews, many users indicated using the NM as a reference while updating their essay. In addition ... type an essay answering a qualitative physics problem using a graphical user interface. ITSPOKE then engages the user inspokendialogue (using head-mounted microphone input and speech output)...
... in the 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 ... tocalculate our input features.We identify Giver TRPs using existing dialogue structure coding. The Map Task Corpus has been seg-mented by hand into dialogue moves, as described in (Carletta et ... below 400ms, and increasing the thresh-old value in increments of 100ms.Table 2 shows the values for the highest perform-ing models. The model that only inserts continuers in pauses over 900...
... forcooperative response generation in information dialogues. In AAAI/IAAI 1999 pp. 148–155.M. Steedman 2000. Information structure and the syntax-phonology interface. In Linguistic Inquiry, 31(4): 649–689.A. ... of interest for any rational user. All dominantoptions represent some tradeoff, but depending onthe user’s interest, some of them are more interest-ing tradeoffs than others.Pruning dominated ... group-averageclustering. The algorithm begins by assigningeach unique attribute value to its own bin, and suc-cessively merging adjacent bins whenever the dif-ference between the means of the bins falls...
... of entrainment capturedifferent aspects of dialogue coordination and thatexploring various formulations of entrainment de-serves future attention.3.3 Dialogue coordinationThe coordination ... pro-duction and comprehension in dialogue. In this paper we examine novel types of entrain-ment in two corpora—Switchboard and theColumbia Games corpus. We examine en-trainment in use of high-frequency ... Social Intelligence. Bantam.K. Niederhoffer and J. Pennebaker. 2002. Linguisticstyle matching in social interaction.M. J. Pickering and S. Garrod. 2004. Toward a mecha-nistic psychology of dialogue. ...
... 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 ... 941Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pages 937–944,Sydney, July 2006.c2006 Association for Computational LinguisticsStochastic Discourse Modeling inSpokenDialogue ... core technology of the spoken dia-logue systems, since the more accurate information obtained by the machine (Higashinaka et al., 2004), the more possibility to finish the dialogue task. Practical...
... tuning.Future work points in two directions: first, inte-grating our methodology into working ISU-based dialogue systems and determining whether or notthey improve in terms of standard dialogue ... used by a dialogue manager to decide appro-priate system reactions. The approach is novel in combining machine learning with n-best processingfor spokendialogue systems using the InformationState ... the remaining data into an80% training and 20% test set.3. Run TiMBL with all possible parameter set-tings on the generated training and test setsand store the best performing settings.4....
... referring expressions to refer to thedomain entities in the instructions.Figure 1: System User Interaction (learning)4.1 Dialogue ManagerThe dialogue manager identifies the next instruc-tion (dialogue ... variablefor each domain entity.736.2 LearningThe REG module was trained in learning mode us-ing the above reward function using the SHAR-SHA reinforcement learning algorithm (with lin-ear function ... (Learned HS) during training. It can beseen in the figure 2 that towards the end the curveplateaus signifying that learning has converged.Figure 2: Learning curves - Training7 Evaluation In this section,...
... developed for bilingual dialoguein a voice-to-voice machine translation application. In this application, the Dialogue Manager is available for meta- dialogues with either user (as in Could you ... in these near-future examples. 3.2.1 Dialogue with a Back-End Computer The first three examples illustrate dialogues in which a human is talking to a computer. One dimension distinguishing ... logue types in complex interrelations. These example dialogues have more primitive cousins under development today. Briefly, our example dialogue types are listed in Table 3. Dialogue with...
... rules from the train-ing text. The DR-DA matrix is created after cluster-ing the sentences into different dialogue acts (DAs),counting the occurrences the DRs in DA, and intro-ducing an entropy-based ... Computational LinguisticsSemantic Information and Derivation Rules for Robust Dialogue ActDetection in a SpokenDialogue SystemWei-Bin Liang1Chung-Hsien Wu2Department of Computer Science andInformation ... score for dialogue actdetection given an input speech utterance. Theproposed approach is implemented and evalu-ated in aMandarin spokendialogue system fortour-guiding service. Combined with...
... find that tutoring, as a new do-main for speech applications, exhibits in- teresting tradeoffs and new factors to consider for spokendialogue design. 1 Introduction Designing a spokendialogue ... Detecting Certainness inSpoken Tutorial Dia-logues. In Proc. of Interspeech. D. Litman and K. Forbes-Riley. 2004. Annotating Student Emotional States inSpoken Tutoring Dia-logues. In Proc. ... its success. In our case, if we look at affect (FAH) or attitude (CERT) in isolation we find many interactions; in contrast, combining them offers little insight. 6 Results – insights &...
... query where the 3rd of 7 matching trains was the desired answer. Since only LT included this train in its initial response (by luck, due to the train's po- sition in the list of matches), ... shown in Table 1.3 Tasks 2 (dialogue fragments (2) and (3)) and 3 led to queries that yielded no matching trains. In Task 2 users were told to find the closest train. Since only CT included ... functionality, hints for talking to TOOT, and links to 4 task pages. Each task page contained a task scenario, the hints, instructions for calling TOOT, anal a web survey designed to ascertain the...
... plausible interpretation can be obtained in an incremental way. 5 Implementation Using ISSS, we have developed several experimen- tal Japanese spokendialogue systems, including a meeting room ... 1997. Utterance units inspoken dialogue. In Elisabeth Maier, Marion Mast, and Susann LuperFoy, editors, Dialogue Pro- cessing inSpoken Language Systems, pages 125-140. Springer-Verlag. Marilyn ... for natural spoken dialogue. In Proceedings of ACL-96, pages 62-70. Harald Aust, Martin Oerder, Frank Seide, and Volker Steinbiss. 1995. The Philips automatic train timetable information...
... Processes(POMDP) based dialogue managers.1 Reinforcement Learning-based Dialogue Management In recent years, Machine Learning techniques, in particular Reinforcement Learning (RL), havebeen applied ... developed anapproach to spokendialogue systems thatincludes rule-based and trainable dialogue managers, spoken language understandingand generation modules, and a compre-hensive dialogue system architecture. ... management policy byusing pre-trained policies (section 4). The appli-cation domain is a tourist information system foraccommodation and events in the local area. Thedomain of the trained DMs is identical...