In this paper we explore the possibility of identifying and simulating different user behaviors observed in the corpus. For this purpose inverse reinforcement ...

This paper explores the possibility of identifying and simulating different user behaviors observed in the corpus and validates the effectiveness of the ...

Abstract. Spoken dialogue systems provide an opportunity for man machine interaction using spoken language as the medium of interaction.

In order to cope with the data requirement for policy optimization and also to evaluate dialogue policies user simulators are introduced. Almost all existing ...

Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefèvre, Olivier Pietquin: Behavior Specific User Simulation in Spoken Dialogue Systems.

Oct 11, 2022 · User simulators (USs) are commonly used to train task-oriented dialogue systems (DSs) via reinforcement learning. The interactions often.

Abstract. We propose the “advanced” n-grams as a new technique for simu- lating user behaviour in spoken dialogue systems, and we compare.

User simulation is essential for generating enough data to train a statistical spoken dialogue system. Previous models for user.

May 16, 2024 · This paper introduces DuetSim, a novel framework designed to address the intricate demands of task-oriented dialogues by leveraging LLMs.

In this paper we explore the possibility of identifying and simulating different user behaviors observed in the corpus. For this purpose inverse reinforcement ...