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dialogue-systems

Some empirical findings on dialogue management and domain ontologies in dialogue systems   Implications from an evaluation of BirdQuest

Some empirical findings on dialogue management and domain ontologies in dialogue systems Implications from an evaluation of BirdQuest

... nected dialogue as is present in dialogue systems tai- lored to background systems with structured ...data. Dialogue capabilities allow for more precise formu- lation of information ...

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Annotating Dialogue Acts to Construct Dialogue Systems for Consulting

Annotating Dialogue Acts to Construct Dialogue Systems for Consulting

... the dialogue flow of sightseeing planning, where the guide and the user first clarify the latter’s in- terests (Open, WH-Questions), list and evaluate candidates (Evaluation), and then the user makes a decision ...

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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

... 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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PyDial: A Multi domain Statistical Dialogue System Toolkit

PyDial: A Multi domain Statistical Dialogue System Toolkit

... statistical dialogue systems would enable peo- ple new to the field would be able to get involved more easily, results to be compared more easily, and researchers to focus on their specific research ...

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Using Reinforcement Learning to Build a Better Model of Dialogue State

Using Reinforcement Learning to Build a Better Model of Dialogue State

... tutoring systems they also generalize to dialogue systems as a ...spoken dialogue systems as designers try to make the system as easy to use for a student or trip-planner, ...any ...

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SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems

SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems

... In dialogue systems, the tasks of named entity recognition (NER) and named entity linking (NEL) are vital preprocessing steps for understanding user intent, especially in open domain interaction where we ...

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The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi Turn Dialogue Systems

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi Turn Dialogue Systems

... engineering, and is typically smaller than the set of responses considered in our work. When the set of candidate responses is close to the size of the dataset (e.g. all utterances ever recorded), then we are quite close ...

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Information Presentation in Spoken Dialogue Systems

Information Presentation in Spoken Dialogue Systems

... 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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Open Domain Neural Dialogue Systems

Open Domain Neural Dialogue Systems

... domain dialogue systems that not only emulate hu- man conversation but fulfill complex tasks, such as travel planning, seemed ...of dialogue re- ...of dialogue systems. First is a ...

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Adaptive Dialogue Systems   Interaction with Interact

Adaptive Dialogue Systems Interaction with Interact

... specialized, e.g. they deal only with speech recognition errors or outputs related to greet- ings. They can also be used to model differ- ent interaction strategies for the same task, e.g. different dialogue ...

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Learning to Compose Effective Strategies from a Library of Dialogue Components

Learning to Compose Effective Strategies from a Library of Dialogue Components

... learning dialogue management strategies has however generally been limited to well defined areas of the dialogue, in particular dealing with speech recognition and clarification problems, with small state ...

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Deep Learning for Dialogue Systems

Deep Learning for Dialogue Systems

... – Dialogue State Tracking The state-of-the-art dialogue managers focus on monitoring the dialogue progress by neural dialogue state ...based dialogue state tracking approaches ...

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Deep Learning for Dialogue Systems

Deep Learning for Dialogue Systems

... ken dialogue systems have been the most prominent component in today’s virtual personal ...classic dialogue systems have rather complex and/or mod- ular ...a dialogue system is still ...

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Dialogue Systems for Virtual Environments

Dialogue Systems for Virtual Environments

... dialog systems for virtual environments, aiming to estimate their usability and ...different systems of the same ...developed systems, creat- ing a standardized quality model and proposing a set of ...

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Dialogue management systems: a survey and overview

Dialogue management systems: a survey and overview

... experiment, speakers tended to use the words which appeared in the description of the scenario. To avoid this problem, Dybkjaer designed two sets of experiments: one used a text-based description of the scenario and ...

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MATCH: An Architecture for Multimodal Dialogue Systems

MATCH: An Architecture for Multimodal Dialogue Systems

... based dialogue manager enables users to interact flexibly using speech, pen, or synchronized combina- tions of the two depending on their preferences, task, and physical and social ...and dialogue context ...

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Scaling Multi Domain Dialogue State Tracking via Query Reformulation

Scaling Multi Domain Dialogue State Tracking via Query Reformulation

... self-attentive dialogue state tracker (Zhong et ...domain-specific dialogue systems; as well as more scalable approaches such as (Rastogi et ...

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11th Conference of the European Chapter of the Association for Computational Linguistics

11th Conference of the European Chapter of the Association for Computational Linguistics

... dialog systems; Rob Gaizauskas (Sheffield, UK)—Question answering, in- formation extraction, information retrieval; Mirella Lapata (Edinburgh, UK)—Semantics, including lexical semantics, formal semantics and ...

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