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Target-Guided Open-Domain Conversation Planning (2209.09746v1)
Published 20 Sep 2022 in cs.CL
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.
- Yosuke Kishinami (2 papers)
- Reina Akama (10 papers)
- Shiki Sato (7 papers)
- Ryoko Tokuhisa (6 papers)
- Jun Suzuki (86 papers)
- Kentaro Inui (119 papers)