Giving Voice to the Internet by Means of Conversational Agents View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2014

AUTHORS

David Griol , Araceli Sanchis de Miguel , José Manuel Molina

ABSTRACT

In this paper we present a proposal to develop conversational agents that avoids the effort of manually defining the dialog strategy for the agent and also takes into account the benefits of using current standards. In our proposal the dialog manager is trained by means of a POMDP-based methodology using a labeled dialog corpus automatically acquired using a user modeling technique. The statistical dialog model automatically selects the next system response. Thus, system developers only need to define a set of files, each including a system prompt and the associated grammar to recognize user responses. We have applied this technique to develop a conversational agent in VoiceXML that provides information for planning a trip. More... »

PAGES

441-448

Book

TITLE

Intelligent Data Engineering and Automated Learning – IDEAL 2014

ISBN

978-3-319-10839-1
978-3-319-10840-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-10840-7_53

DOI

http://dx.doi.org/10.1007/978-3-319-10840-7_53

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008849706


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