Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents

Lina Maria Rojas Barahona 1 Alejandra Lorenzo 1 Claire Gardent 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : We describe the acquisition of a dialog corpus for French based on multi-task human-machine interactions in a serious game setting. We present a tool for data collection that is configurable for multiple games; describe the data collected using this tool and the annotation schema used to annotate it; and report on the results obtained when training a classifier on the annotated data to associate each player turn with a dialog move usable by a rule based dialog manager. The collected data consists of approximately 1250 dialogs, 10454 utterances and 168509 words and will be made freely available to academic and nonprofit research.
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Conference papers
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https://hal.inria.fr/hal-00726721
Contributor : Lina Maria Rojas Barahona <>
Submitted on : Friday, August 31, 2012 - 10:17:56 AM
Last modification on : Tuesday, December 18, 2018 - 4:38:01 PM
Long-term archiving on : Saturday, December 1, 2012 - 3:30:31 AM

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Lina Maria Rojas Barahona, Alejandra Lorenzo, Claire Gardent. Building and Exploiting a Corpus of Dialog Interactions between French Speaking Virtual and Human Agents. The eighth international conference on Language Resources and Evaluation (LREC), European Language Resources Association (ELRA), May 2012, Istanbul, Turkey. pp.1428-1435. ⟨hal-00726721⟩

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