Simulation du processus de croyance mutuelle de la compréhension dans le dialogue (grounding process) à l'aide des réseaux bayésiens - CentraleSupélec Access content directly
Conference Papers Year : 2010

Simulation du processus de croyance mutuelle de la compréhension dans le dialogue (grounding process) à l'aide des réseaux bayésiens

Stéphane Rossignol
Olivier Pietquin
Michel Ianotto

Abstract

User simulation has become an important trend of research in the field of spoken dialogue systems because collecting and annotating real interactions with users is often expensive and time consuming. Yet, such data are generally required for designing and assessing efficient dialogue systems. The general problem of user simulation is thus to produce as many as necessary natural, various and consistent interactions from as few data as possible. In this paper, we propose a user simulation method based on Bayesian Networks (BN) that is able to produce consistent interactions in terms of user goal and dialogue history but also to simulate the grounding process that often appears in human-human interactions. The BN is trained on a database of 1234 human-machine dialogues in the TownInfo domain (a tourist information application). Experiments with a state-of-the-art dialogue system (REALL-DUDE/DIPPER/OAA) have been realized and promising results are presented.
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Dates and versions

hal-00552956 , version 1 (06-01-2011)

Identifiers

  • HAL Id : hal-00552956 , version 1

Cite

Stéphane Rossignol, Olivier Pietquin, Michel Ianotto. Simulation du processus de croyance mutuelle de la compréhension dans le dialogue (grounding process) à l'aide des réseaux bayésiens. JEP 2010, May 2010, Mons, Belgium. 5 p. ⟨hal-00552956⟩
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