spoken dialogue systems
On Quality Ratings for Spoken Dialogue Systems – Experts vs Users
... such Spoken Dialogue Systems, though, it is not easy to get users to apply quality ratings to the dialogue – especially for each system-user- ...
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On the Use of Prosody for On-line Evaluation of Spoken Dialogue Systems
... Dutch spoken dialogue systems which provide train time table information (see Weegels ...The systems prompt the user for unknown slots, such as departure station, arrival station, date, ...two ...
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Context Management with Topics for Spoken Dialogue Systems
... Context Management with Topics for Spoken Dialogue Systems Context Management with Topics for Spoken Dialogue Systems K r i s t i i n a J o k i n e n a n d H i d e k i T a n a k a a n d A k i o Y o k[.] ...
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Optimising Information Presentation for Spoken Dialogue Systems
... We present a novel approach to Informa- tion Presentation (IP) in Spoken Dialogue Systems (SDS) using a data-driven statis- tical optimisation framework for content planning and attribute selection. ...
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Entrainment in Spoken Dialogue Systems: Adopting, Predicting and Influencing User Behavior
... The corpus consists of approximately nine hours of recorded dialogue. It has been orthographically transcribed and annotated with prosodic and turn- taking labels. Thirteen subjects participated in the collection ...
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A generic template to evaluate integrated components in spoken dialogue systems
... Churcher, G, Atwell, ES and Souter, DC (1997) A generic template to evaluate integrated components in spoken dialogue systems. In: Hirschberg, J, Kamm, C and Walker, M, (eds.) Proceedings of ...
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Predicting user mental states in spoken dialogue systems
... providing spoken dialogue systems, for example the UAH system, which we have used to evaluate our proposal and is described in “ The UAH dialogue system ” section, in which 85% of the ...
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An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems
... based spoken dialogue systems to compare the robustness of natural language understanding (NLU) approaches across varying levels of word error rate and contrasting ...to dialogue act ...
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Characterizing and Predicting Corrections in Spoken Dialogue Systems
... improves, dialogue systems will be called upon to handle ever more complex tasks and ever less restricted ...that spoken dialogue systems will, for the foreseeable future, always ...
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Learning about Voice Search for Spoken Dialogue Systems
... prefer systems that minimize non-understandings and mi- sunderstandings, even at the expense of dialogue ...information spoken dialogue system preferred system-initiative to mixed- or ...
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Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
... Spoken dialogue systems (SDS) are rapidly appearing in various smart devices (smartphone, smart-TV, in-car navigating system, ...a spoken language understand- ing (SLU) component, which parses ...
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An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Spoken Dialogue Systems
... An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Spoken Dialogue Systems An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Sp[.] ...
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OpenDial: A Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
... of spoken dialogue systems in domains such as personal as- sistants, in-car driving interfaces, intelligent tutor- ing systems, or even autonomous ...from dialogue data using supervised ...
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Detecting Inappropriate Clarification Requests in Spoken Dialogue Systems
... Spoken Dialogue Systems ask for clarifi- cation when they think they have misun- derstood users. Such requests may dif- fer depending on the information the sys- tem believes it needs to clarify. ...
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A Scalable Architecture For Web Deployment of Spoken Dialogue Systems
... of spoken dialogue ...these systems by performing dialogue management, application integration, and large- scale grammar-based language processing in the cloud, rather than just returning the ...
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User Adaptive Restoration for Incorrectly Segmented Utterances in Spoken Dialogue Systems
... User-adaptive spoken dialogue systems can be categorized into two types: adaptation of the sys- tem’s output and adaptation during input inter- ...and dialogue management (Komatani et ...
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Interaction Quality Estimation in Spoken Dialogue Systems Using Hybrid HMMs
... Spoken Dialogue Systems (SDSs) play a key role in achieving natural human-machine ...in dialogue assessment methods towards subjective criteria is described as Quality of Expe- rience, putting ...
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Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers
... NLG systems are rule-based), we designed three ...in spoken dialogue systems, where the Dia- logue Manager triggers an NLG component as soon as a task-relevant user utterance is ...
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The SpeDial datasets: datasets for Spoken Dialogue Systems analytics
... of Spoken Dialogue Systems analytics is to provide tools to detect problems off-line, we will report the results of the offline ...same dialogue could fall both in train and test sets for a ...
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Corpus Based Discourse Understanding in Spoken Dialogue Systems
... For spoken dialogue systems to correctly understand user intentions to achieve certain tasks while con- versing with users, the dialogue state has to be ap- propriately updated (Zue and Glass, ...
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