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spoken dialogue

Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email

Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email

... Learning Optimal Dialogue Strategies A Case Study of a Spoken Dialogue Agent for Email Learning Optimal Dialogue Strategies A Case Study of a Spoken Dialogue Agent for Email Marilyn A Walker walker @[.] ...

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GRICE INCORPORATED: Cooperativity in Spoken Dialogue

GRICE INCORPORATED: Cooperativity in Spoken Dialogue

... GRICE INCORPORATED Cooperativity in Spoken Dialogue G R I C E I N C O R P O R A T E D C o o p e r a t i v i t y in S p o k e n D i a l o g u e Laila Dybkj~er, Niels Ole Bernsen and Hans Dybkj~er Centr[.] ...

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Chinese Generation in a Spoken Dialogue Translation System

Chinese Generation in a Spoken Dialogue Translation System

... In a spoken dialogue translation system, real- time generation is the basic requirement. As we see from the input as shown in Figure 3, the input to the syntactic generation provides enough information ...

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Semantic Similarity Applied to Spoken Dialogue Summarization

Semantic Similarity Applied to Spoken Dialogue Summarization

... to spoken dialogue summarization presented herein unifies corpus- and knowledge-based approaches to summarization, ...the dialogue as a whole is an appropriate criterion for the selection of ...

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Optimising Information Presentation for Spoken Dialogue Systems

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. First ...

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Non humanlike Spoken Dialogue: A Design Perspective

Non humanlike Spoken Dialogue: A Design Perspective

... non-humanlike spoken di- alogue design, which consists of two el- ements: non-humanlike turn-taking and non-humanlike ...non-humanlike spoken dialogue de- sign is effective for reducing speech colli- ...

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Adapting to Multiple Affective States in Spoken Dialogue

Adapting to Multiple Affective States in Spoken Dialogue

... We investigated how iteratively adding new affect adaptation to an affect-adaptive spoken dialogue system impacts global and local performance. We presented a disengagement adaptation that can gen- eralize ...

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Will my Spoken Dialogue System be a Slow Learner ?

Will my Spoken Dialogue System be a Slow Learner ?

... This paper presents a practical methodology for the integration of reinforcement learning during the design of a Spoken Dialogue System (SDS). It proposes a method that enables SDS designers to know, in ...

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Dialogue Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems

Dialogue Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems

... in spoken dialogue ...in spoken dialogue ...real dialogue systems, is much more complicated than pure text-based ...on dialogue-system-oriented review analysis and propose a ...

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Spoken Dialogue Interpretation with the DOP Model

Spoken Dialogue Interpretation with the DOP Model

... Spoken Dialogue Interpretation with the DOP Model Spoken Dialogue Interpretation with the DOP Model Rens Bod Department of Computational Linguistics University of Amsterdam Spuistraat 134, 1012 VB Ams[.] ...

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Information Presentation in Spoken Dialogue Systems

Information Presentation in Spoken Dialogue Systems

... of spoken dialogue systems (SDS) is to offer efficient and natural access to applica- tions and services, such as email and calendars, travel and entertainment booking, and product rec- ...

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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 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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Opinion Mining Using The Prosodic Information In The Spoken Utterance’s For Efficient Dialogue Management In A Spoken Dialogue System

Opinion Mining Using The Prosodic Information In The Spoken Utterance’s For Efficient Dialogue Management In A Spoken Dialogue System

... like Spoken Dialogue system(SDS) carries a lot of valuable information with regards to the internal mental state of the ...each dialogue with the student based on few ...the dialogue ...

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Intrinsic and Extrinsic Evaluation of an Automatic User Disengagement Detector for an Uncertainty Adaptive Spoken Dialogue System

Intrinsic and Extrinsic Evaluation of an Automatic User Disengagement Detector for an Uncertainty Adaptive Spoken Dialogue System

... during spoken dialogue ...a spoken dialogue system to detect and adapt to multiple affective states (specifically, user disengagement and uncertainty) has the potential to significantly ...

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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 Spoken Dialogue Systems An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Sp[.] ...

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DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems

DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems

... our dialogue act tag- ging scheme and others that have been proposed is in our expan- sion of the two-way distinction between dialogue tout simple ...immediate dialogue goals, meta-dialogue ...

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The CommandTalk Spoken Dialogue System

The CommandTalk Spoken Dialogue System

... The role of the dialogue manager in CommandTalk is to manage the representation of linguistic context, interpret user utterances within that context, plan system responses, and set the s[r] ...

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PARADISE: A Framework for Evaluating Spoken Dialogue Agents

PARADISE: A Framework for Evaluating Spoken Dialogue Agents

... The PARADISE methodology consists of the following steps: • definition of a task and a set of scenarios; • specification of the AVM task representation; • experiments with alternate dial[r] ...

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Automatic Detection of Miscommunication in Spoken Dialogue Systems

Automatic Detection of Miscommunication in Spoken Dialogue Systems

... All the three dialogue systems employ confir- mation strategies, which are simple built-in mechanisms for detecting miscommunication online. Therefore, a model trained using the marked disconfirmation feature ...

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Context Management with Topics for Spoken Dialogue Systems

Context Management with Topics for Spoken Dialogue Systems

... The model combines both top-down and bottom-up approaches to topic modelling: the topic tree, which structures domain knowledge, provides expectations of likely topic shifts, whereas the[r] ...

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