Target-Guided Open-Domain Conversation Planning
September 20, 2022 ยท Declared Dead ยท ๐ International Conference on Computational Linguistics
"No code URL or promise found in abstract"
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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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