论文标题
目标指导的开放域对话计划
Target-Guided Open-Domain Conversation Planning
论文作者
论文摘要
针对目标的对话任务的先前研究缺乏在以目标为导向的人工智能代理的背景下进行深入研究的关键观念，即计划。在这项研究中，我们提出了目标引导的开放域对话计划（TGCP）任务的任务，以评估神经对话代理是否具有目标对话计划的能力。使用TGCP任务，我们研究了现有检索模型的对话计划能力和最近的强生成模型。实验结果揭示了当前技术面临的挑战。
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.
