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Purely Corpus-based Automatic Conversation Authoring

Abstract : This paper presents an automatic corpus-based process to author an open-domain conversational strategy usable both in chatterbot systems and as a fallback strategy for out-of-domain human utterances. Our approach is implemented on a corpus of television drama subtitles. This system is used as a chatterbot system to collect a corpus of 41 open-domain textual dialogues with 27 human participants. The general capabilities of the system are studied through objective measures and subjective self-reports in terms of understandability, repetition and coherence of the system responses selected in reaction to human utterances. Subjective evaluations of the collected dialogues are presented with respect to amusement, engagement and enjoyability. The main factors influencing those dimensions in our chatterbot experiment are discussed.
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Contributor : Guillaume Dubuisson Duplessis Connect in order to contact the contributor
Submitted on : Friday, April 29, 2016 - 9:52:24 AM
Last modification on : Saturday, June 25, 2022 - 10:20:30 PM
Long-term archiving on: : Tuesday, November 15, 2016 - 5:43:36 PM


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  • HAL Id : hal-01309202, version 1


Guillaume Dubuisson Duplessis, Vincent Letard, Anne-Laure Ligozat, Sophie Rosset. Purely Corpus-based Automatic Conversation Authoring. 10th edition of the Language Resources and Evaluation Conference (LREC), May 2016, Portorož, Slovenia. pp.ISBN: 978-2-9517408-9-1. ⟨hal-01309202⟩



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