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.
Target-Guided Open-Domain Conversation Planning
The study evaluates the goal-oriented conversation planning abilities of neural conversational agents using a novel Target-Guided Open-Domain Conversation Planning (TGCP) task, highlighting the shortcomings of current models.
- Year
- 2022
- Venue
- COLING 2022 10
- Authors
- 6
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- Abstract onlyARXIV-DEFAULT
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- arxiv.org/abs/2209.09746ARXIV-DEFAULT
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