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[3O1-OS-2c-02] Daily Text Chat Collection and Analysis for Developing Long-Term Relational Dialogue Systems
Keywords:Text chat, Dialogue analysis
In recent years, several high-performance conversational systems based on large-scale language models have been proposed, and it is expected to realize long-term conversations by using user information in dialogue history and external knowledge on the Internet. However, previous studies have used dialogue data containing simulated time pauses or first-meeting dialogue data, revealing little about long-term dialogue methods based on changes in speaker relationships and daily events. In this study, we collect long-term text chat data, ranging from the first meeting to eight weeks, and analyze trends and challenges in long-term chats. This paper presents an overview of this text chat corpus and preliminary analysis results.
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