Regroupement non-supervisé d'utilisateurs par leur comportement pour les systèmes de dialogue parlé

Abstract : Spoken Dialogue Systems (SDS) are natural language interfaces for human-computer interaction. User adaptive dialogue management strategies are essential to sustain the naturalness of interaction. In recent years data-driven methods for dialogue optimization have evolved to be a state of art approach. However these methods need vast amounts of corpora for dialogue optimization. In order to cope with the data requirement of these methods, but also to evaluate the dialogue strategies, user simulations are built. Dialogue corpora used to build user simulation are often not annotated in user's perspective and thus can only simulate some generic user behavior, perhaps not representative of any user. This paper aims at clustering dialogue corpora into various groups based on user behaviors observed in the form of full dialogues.
Document type :
Conference papers
Complete list of metadatas

Cited literature [16 references]  Display  Hide  Download

https://hal.inria.fr/hal-00736205
Contributor : Olivier Buffet <>
Submitted on : Thursday, September 27, 2012 - 5:35:14 PM
Last modification on : Wednesday, July 31, 2019 - 4:18:03 PM
Long-term archiving on : Friday, December 16, 2016 - 5:47:59 PM

File

12.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00736205, version 1

Citation

Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin. Regroupement non-supervisé d'utilisateurs par leur comportement pour les systèmes de dialogue parlé. Journées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 16 p. ⟨hal-00736205⟩

Share

Metrics

Record views

317

Files downloads

249