Target-Guided Open-Domain Conversation Planning

September 20, 2022 ยท Declared Dead ยท ๐Ÿ› International Conference on Computational Linguistics

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Authors Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui arXiv ID 2209.09746 Category cs.CL: Computation & Language Citations 14 Venue International Conference on Computational Linguistics Last Checked 4 months ago
Abstract
Prior studies addressing target-oriented conversational tasks lack a crucial notion that has been intensively studied in the context of goal-oriented artificial intelligence agents, namely, planning. In this study, we propose the task of Target-Guided Open-Domain Conversation Planning (TGCP) task to evaluate whether neural conversational agents have goal-oriented conversation planning abilities. Using the TGCP task, we investigate the conversation planning abilities of existing retrieval models and recent strong generative models. The experimental results reveal the challenges facing current technology.
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