... ofthe in-car system. 121 An ISU DialogueSystem Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-filling in the TALK In-car System Oliver Lemon, Kallirroi Georgila, and James ... mul-timodal dialogue management, and also to test and fur-ther develop learnt dialogue strategies in a realistic ap-plication scenario. For these reasons we have built a system which:contains an interface ... developed for Reinf orcementLearning with ISU dialogue systems.2 System OverviewThe baseline dialoguesystem is built around the DIP-PER dialogue manager (Bos et al., 2003). This sys-tem is...
... driver utterances and 4382passenger utterances are transcribed. An annota-tion scheme was designed to enable analysis ofutterances with respect to topic change for eachdomain.Domain and topic ... resumption strategies in an in-vehicle dialogue system. 1 IntroductionMaking it useful and enjoyable to use a dialogue system is always important. The dialogue shouldbe easy and intuitive, otherwise ... when implementing an in-vehicle dialogue system. To make the dialogue natural and easy to under-stand the dialogue manager should consider whichdomain it will resume to and the number of turnsbetween...
... Depending on itsboundary, a system can be an economic entity, an inventory system, or a business organization.Knowledge management is an element of theorganizational management system (Warfield,1989). ... enterprise perfor-mance and competitive advantage (Ahn andChang, 2004; Chuang, 2004; Joshi and Sharma,2004; Tzokas and Saren, 2004; Badii and Sharif,2003; Cavusgil et al., 2003; Choi and Lee, 2002).For ... structure of the system, and the function ofthe system. Main Factors Influence Knowledge ManagementKnowledge management system is a system toeffectively manage knowledge within an enter-prise....
... 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 act A∗tand ... LinguisticsSemantic Information and Derivation Rules for Robust Dialogue ActDetection in a Spoken Dialogue System Wei-Bin Liang1Chung-Hsien Wu2Department of Computer Science andInformation EngineeringNational ... extracted and used to model the relation-ship between the dialogue acts and the deriva-tion rules. The constructed model is then usedto generate a semantic score for dialogue actdetection given an...
... 2005; Soricut and Brill, 2006), ashave the human-powered question sites such as An- swers.com, Yahoo Answers and Google Answers,where individuals can post questions and receive an- swers from ... information can be used topost-process the data, and to develop an auto-matic approval system for further data collec-tion projects conducted in a similar manner.1 IntroductionAutomatic question answering ... com-pare the correct answers to automatic answersproduced by a system. For this purpose wepresent a Wikipedia-based corpus of Why-questions and corresponding answers and arti-cles. The corpus...
... hori-zon, correct answers) has the biggest impact. Acknowledgements This work is supported by NSF Grants 0328431 and 0428472. We would like to thank Shimei Pan, Pamela Jordan and the ITSPOKE ... 63(Special Issue on NLP). D. Litman and S. Silliman. 2004. ITSPOKE: An intelli-gent tutoring spoken dialogue system. In Proc. of HLT/NAACL. S. Oviatt, R. Coulston and R. Lunsford. 2004. When Do ... user can expand nodes as desired using the mouse. Information highlight. Bold and italics font were used to highlight important information (what and when to highlight was manually annotated)....
... input, and thus in the same output: arequest to show and describe the given design.The COMIC DAM (Catizone et al., 2003) isa general-purpose dialogue manager which canhandle different dialogue ... al., 2002). An experimental study (Foster andWhite, 2005) has shown that this adaptation is per-ceptible to users of COMIC.2 Dialogue ManagementThe task of the Dialogue and Action Manager(DAM) ... Chang, Hannes Vilhj´almsson,and Hao Yan. 1999. Embodiment in conversationalinterfaces: Rea. In Proceedings of CHI99.Roberta Catizone, Andrea Setzer, and Yorick Wilks.2003. Multimodal dialogue...
... to-speech translation systems, the semantic content of utterances plays an important role and an inte- grated system must also produce a semantic analysis of the input utterance. Although ... descriptions of what is said, and that the recognition of the utterance topic is an important task of spoken dialogue systems. 3 The Topic Model In AI-based dialogue modelling, topics are ... syntactic and semantic information of the input utterance rather than strict prediction of dialogue act sequences. Recently also keyword-based topic identification has been applied to dialogue...
... corpus and transcribing it is very time-consuming and delays the building of the actual dialogue system. An approach taken both in dialogue systemsand dictation applications is to first write an ... M., andPopovici C. 1997. Contextual Information and Spe-cific Language Models for Spoken Language Un-derstanding. In Proceedings of SPECOM’97, Cluj-Napoca, Romania, pp. 51–56.Bangalore S. and ... significant improvement. It seems from the teststhat the quality of the data is more important thanthe quantity. This makes extraction of domaindata from larger corpora an important issue andincreases...
... six dialogue pairs, thefirst of which was used for training and was thusnot included in the analysis. Each dialogue pairconsisted of one dialogue between a user and our system and one dialogue ... 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 ... astranscripts.After reading each dialogue transcript, partici-pants were asked four questions about the system sresponses. They provided their answers using Lik-ert scales.1. Did the system...
... Sciences and Technology 24 (2008) 110-121 110 An integrated approach for an academic advising system in adaptive credit-based learning environment Nguyen Thanh Binh*, Hoang Thi Anh Duong, Tran ... understanding the regulations and requirements of a chosen program, and selecting the most effective and efficient path toward graduation [5]. Usually, Academic advising is an important and ... understand and profit from learning history data. In the proposed framework, a learning data warehouse gathers and stores information coming from operation and navigational systems for future analysis...