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Found 7 papers, 0 papers with code
Constructing a Culinary Interview Dialogue Corpus with Video Conferencing Tool
Interview is an efficient way to elicit knowledge from experts of different domains.
Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System
We work on a recommendation dialogue system to help a user understand the appealing points of some target (e. g., a movie).
Explicit Use of Topicality in Dialogue Response Generation
In this study, we propose a dialogue system that responds appropriately following the topic by selecting the entity with the highest “topicality.” In topicality estimation, the model is trained through self-supervised learning that regards entities that appear in both context and response as the topic entities.
RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State
Since there are no existing annotated resources for the analysis, we constructed RecMind, a Japanese movie recommendation dialogue dataset with annotations of the seeker's internal state at the entity level.
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue
In this paper, we model the UIS in dialogues, taking movie recommendation dialogues as examples, and construct a dialogue system that changes its response based on the UIS.
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education.
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.
