spoken language dialogue systems
A Methodology for Evaluating Spoken Language Dialogue Systems and Their Components
... information systems (den Os et ...Daimler-Benz dialogue manager (Heisterkamp and McGlashan, 1996), the Daimler-Benz parser (Mecklenburg, Hanrieder and Heisterkamp, 1995), the Danish Dialogue System ...
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Multi domain Neural Network Language Generation for Spoken Dialogue Systems
... Domain adaptation problems arise when we have a sufficient amount of labeled data in one domain (the source domain), but have little or no labeled data in another related domain (the target domain). Domain adaptability ...
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Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems
... PARE . The strategies realise varying numbers of attributes according to different “conciseness” val- ues: concise (1 or 2 attributes), average (3 or 4), and verbose (4,5, or 6). Overhearers rate all conciseness levels ...
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Semantically Conditioned LSTM based Natural Language Generation for Spoken Dialogue Systems
... Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact both on usabil- ity and perceived ...human language. They are also not easily ...
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Automatic Detection of Miscommunication in Spoken Dialogue Systems
... of dialogue system interaction ...across dialogue systems were automatically extracted from the system logs (of ASR, NLU and NLG modules) and the manual ...logue systems that differ in their ...
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Sequential Dialogue Context Modeling for Spoken Language Understanding
... oriented dialogue systems help users with ac- complishing tasks, like making restaurant reserva- tions or booking flights, by interacting with them in natural ...the spoken language ...
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Characterizing and Predicting Corrections in Spoken Dialogue Systems
... other systems, spoken dialogue systems (SDS) tend to have more difficulties in correctly interpreting user ...a spoken dialogue system are often hampered by mismatches between ...
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An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems
... CheckItOut is modeled on telephone library transactions at the Andrew Heiskell Braille and Talking Book Library, a branch of the New York Public Library and part of the Na- tional Library System. CheckItOut handles ...
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Context aware Natural Language Generation for Spoken Dialogue Systems
... Natural language generation (NLG) is an important component of question answering(QA) sys- tems which has a significant impact on system ...QA systems based on templates or rules tend to generate rigid and ...
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Book Reviews: Spoken Natural Language Dialogue Systems: A Practical Approach
... While this kind of limi- tation is fairly standard for written dialogue systems involved in query-answering, it detracts from the flexibility of spoken dialogue b y not allowing followup[r] ...
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Rapid Prototyping of Robust Language Understanding Modules for Spoken Dialogue Systems
... large amount of data. The LU should also be robust, i.e., it should be accurate even if some automatic speech recognition (ASR) errors are contained in its input. A robust LU module is also helpful when col- lecting ...
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Human Machine Problem Solving Using Spoken Language Systems (SLS): Factors Affecting Performance and User Satisfaction
... Human Machine Problem Solving Using Spoken Language Systems (SLS) Factors Affecting Performance and User Satisfaction Human Machine Problem Solving Using Spoken Language Systems (SLS) Factors Affectin[.] ...
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Usability Testing of Spoken Conversational Systems
... a spoken interaction while that interaction is in ...Because spoken interactions don’t offer the same ability to refer back to the previous interactions, any usability testing technique for a speech system ...
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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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Evaluation for Darpa Communicator Spoken Dialogue Systems
... The User Satisfaction questions on the survey probe a number of different aspects of the users’ perceptions of their interaction with the system in order to focus the user on the task of rating the system, as in ...
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DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems
... system. Dialogue systems are less able to diagnose a communication problem than human travel agents, and callers are less familiar with the capa- bilities of such ...some systems resort to explicit ...
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Dialogue Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
... The three-level framework of a review-summary- based recommendation dialogue system is shown in Figure 2. The bottom level is linguistic phrase extraction. In previous work (Liu and Seneff, 2009), we employed a ...
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PyDial: A Multi domain Statistical Dialogue System Toolkit
... all dialogue system modules to enable text-based interaction, ...to spoken) input and output. The dialogue system modules rely on the domain specification defined by an ...the Dialogue Server, ...
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Toward a model for incremental grounding in dialogue systems
... a dialogue system is to use a pipeline architecture, in which a chain of components takes a user utterance as input and comes up with a system re- sponse as output [27, ...typical dialogue system, the ...
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Interoperability of Dialogue Corpora through ISO 24617 2 based Querying
... multiple dialogue act tags to a dialogue seg- ...which dialogue acts address infor- mation about a certain task (the Task dimension); the pro- cessing of utterances by the speaker (Auto-feedback) or ...
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