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Prédiction de l'échec d'une conversation médiée dans un contexte de dialogues à rôles asymétriques

Abstract : In a human-to-human conversation between a user and his interlocutor in an assistance center, we suppose a context where the conclusion of the dialog can characterize a notion of success or failure, explicitly annotated or deduced. The study involves different approaches expected to have an influence on predictive classification model of failures. On the one hand, we will aim at taking into account the asymmetry of the speakers' roles in the modelling of the lexical distribution. On the other hand, we will determine whether the part of the lexicon most closely relating to the domain of customer assistance studied here, modifies the quality of the prediction. We will eventually assess the perspectives of generalization to morphologically comparable corpora.
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Submitted on : Wednesday, May 23, 2018 - 4:21:04 PM
Last modification on : Friday, October 15, 2021 - 1:40:08 PM
Long-term archiving on: : Friday, August 24, 2018 - 9:19:26 PM


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  • HAL Id : hal-01798604, version 1



Romain Carbou, Delphine Charlet, Géraldine Damnati, Frédéric Landragin, Jean-Léon Bouraoui. Prédiction de l'échec d'une conversation médiée dans un contexte de dialogues à rôles asymétriques. Vingt-cinquième conférence sur le Traitement Automatique des Langues Naturelles (TALN), ATALA, May 2018, Rennes, France. ⟨hal-01798604⟩



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