Approaches for Dialog Management in Conversational Agents

Journal Article (2019)
Author(s)

Jan-Gerrit Harms (Student TU Delft)

P. Kucherbaev (TU Delft - Web Information Systems)

A Bozzon (TU Delft - Human-Centred Artificial Intelligence, TU Delft - Web Information Systems)

Geert-Jan Houben (TU Delft - Web Information Systems)

Research Group
Web Information Systems
Copyright
© 2019 Jan-Gerrit Harms, P. Kucherbaev, A. Bozzon, G.J.P.M. Houben
DOI related publication
https://doi.org/10.1109/MIC.2018.2881519
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Jan-Gerrit Harms, P. Kucherbaev, A. Bozzon, G.J.P.M. Houben
Research Group
Web Information Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
2
Volume number
23
Pages (from-to)
13-22
Reuse Rights

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Abstract

Dialog agents, like digital assistants and automated chat interfaces (e.g., chatbots), are becoming more and more popular as users adapt to conversing with their devices as they do with humans. In this paper, we present approaches and available tools for dialog management (DM), a component of dialog agents that handles dialog context and decides the next action for the agent to take. In this paper, we establish an overview of the field of DM, compare approaches and state-of-the-art tools in industry and research work on a set of dimensions, and identify directions for further research work.

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