SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script

• URL: http://arxiv.org/abs/2410.20682v1
• Date: Mon, 28 Oct 2024 02:41:33 GMT
• Title: SHARE: Shared Memory-Aware Open-Domain Long-Term Dialogue Dataset Constructed from Movie Script
• Authors: Eunwon Kim, Chanho Park, Buru Chang,
• Abstract summary: This study aims to make long-term dialogue more engaging by leveraging shared memories. We introduce a new long-term dialogue dataset named SHARE, constructed from movie scripts. We also introduce EPISODE, a long-term dialogue framework based on SHARE.
• Score: 7.078477274648196
• License:
• Abstract: Shared memories between two individuals strengthen their bond and are crucial for facilitating their ongoing conversations. This study aims to make long-term dialogue more engaging by leveraging these shared memories. To this end, we introduce a new long-term dialogue dataset named SHARE, constructed from movie scripts, which are a rich source of shared memories among various relationships. Our dialogue dataset contains the summaries of persona information and events of two individuals, as explicitly revealed in their conversation, along with implicitly extractable shared memories. We also introduce EPISODE, a long-term dialogue framework based on SHARE that utilizes shared experiences between individuals. Through experiments using SHARE, we demonstrate that shared memories between two individuals make long-term dialogues more engaging and sustainable, and that EPISODE effectively manages shared memories during dialogue. Our new dataset is publicly available at https://anonymous.4open.science/r/SHARE-AA1E/SHARE.json.

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