In recent years, dialogue systems have been applied to daily living. Such systems should be able to associate conversations with dialogue situations, such as a place where a dialogue occurs and the relationship between participants. In this study, we propose a dialogue situation recognition method that under-stands the perspective of dialogue scenes. The target dialogue situations contain dialogue styles, places, activities, and relations between participants. We used the Corpus of Everyday Japanese Conversation (CEJC), which records natural everyday conversations in various situations for experiments. We experimentally verified the effectiveness of our proposed method us-ing multimodal information for situation recognition.
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Dialogue Situation Recognition for Everyday Conversation Using Multimodal Information
Semantic Scholar · Computer Science · 2021
Abstract
In recent years, dialogue systems have been applied to daily living. Such systems should be able to associate conversations with dialogue situations, such as a place where a dialogue occurs and the relationship between participants. In this study, we propose a dialogue situation recognition method that under-stands the perspective of dialogue scenes. The target dialogue situations contain dialogue styles, places, activities, and relations between participants. We used the Corpus of Everyday Japanese Conversation (CEJC), which records natural everyday conversations in various situations for experiments. We experimentally verified the effectiveness of our proposed method us-ing multimodal information for situation recognition.