In this paper, we propose a method to estimate such user conversational states as concentrating/not concentrating. We previously proposed a robot-assisted ...
ABSTRACT. In this paper, we propose a method to estimate such user conversational states as concentrating/not concentrating. We.
In this paper, we propose a method to estimate such user conversational states as concentrating/not concentrating. We previously proposed a robot-assisted ...
A method to estimate such user conversational states as concentrating/not concentrating and the normalization of feature vectors based on the frequencies of ...
Apr 28, 2023 · The objective of this study was to estimate trust from conversations using both lexical and acoustic data.
Feb 21, 2020 · The system may recommend items multiple times, and the conversation ends only if the user accepts the recommendation or chooses to quit.
Jun 6, 2024 · We conducted a systematic literature review to identify models frequently employed for intent modeling in conversational recommender systems.
May 12, 2024 · In this survey, we offer a systematic and comprehensive review of multi-turn conversational data generation, focusing on three types of dialogue systems.
Missing: Estimation normalization.
Nov 4, 2023 · In this paper, we have proposed a novel dialogue-evaluation framework that leverages recent advancements in deep learning research.
quality of dialog management, intent estimation and user-adapted conversational systems is briefly described. The main contributions of this paper are the ...