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In this paper, we design and evaluate a modular data-driven di- alog simulator where we decouple the “intentional” component of the User Simulator from the ...
In this paper, we design and evaluate a modular data-driven dialog simulator where we decouple the “intentional” component of the User Simulator from the Error ...
In this paper, we present a general framework for increasing the quality of the system responses by combining a statistical dialog management technique and a ...
This paper proposes a novel user intention simulation method which is data-driven but can integrate diverse user discourse knowledge to simulate various types ...
Hybrid approach to user intention modeling for dialog simulation. In ... Combining user intention and error modeling for statistical dialog simulators.
Varges, “Combining user intention and error modeling for statistical dialog simulators,” in. Proceedings of Interspeech, 2010. 37. [89] K. Scheffler and S ...
Sep 25, 2010 · Varges. 2010. Combining user intention and error modeling for statistical dialog simulators. In Proc. INTERSPEECH. J. Schatzmann, K.
To do this, we describe an approach based on a statistical model that combines two models for user's intention modeling, generates a single representation from ...
Oct 21, 2023 · This approach uses LLM as an annotation-free user simulator to assess dialogue responses, combining them with smaller fine-tuned end-to-end TOD models.
Missing: statistical | Show results with:statistical
May 16, 2024 · This paper introduces DuetSim, a novel framework designed to address the intricate demands of task-oriented dialogues by leveraging LLMs.