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Found 11 papers, 0 papers with code
A Speculative and Tentative Common Ground Handling for Efficient Composition of Uncertain Dialogue
This study investigates how the grounding process is composed and explores new interaction approaches that adapt to human cognitive processes that have not yet been significantly studied.
Dialogue Corpus Construction Considering Modality and Social Relationships in Building Common Ground
Building common ground with users is essential for dialogue agent systems and robots to interact naturally with people.
Investigating person-specific errors in chat-oriented dialogue systems
Creating chatbots to behave like real people is important in terms of believability.
Dialogue Collection for Recording the Process of Building Common Ground in a Collaborative Task
To develop a dialogue system that can build common ground with users, the process of building common ground through dialogue needs to be clarified.
Release of Pre-Trained Models for the Japanese Language
AI democratization aims to create a world in which the average person can utilize AI techniques.
An Integration of Pre-Trained Speech and Language Models for End-to-End Speech Recognition
Advances in machine learning have made it possible to perform various text and speech processing tasks, including automatic speech recognition (ASR), in an end-to-end (E2E) manner.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs
This paper concerns the problem of realizing consistent personalities in neural conversational modeling by using user generated question-answer pairs as training data.
Investigating the Effect of Conveying Understanding Results in Chat-Oriented Dialogue Systems
In this paper, we explored the effect of conveying understanding results of user utterances in a chat-oriented dialogue system by an experiment using human subjects.
