Many efforts have been made to construct dialog systems for different types of conversations, such as task-oriented dialog (TOD) and open-domain dialog (ODD). To better mimic human-level conversations that usually fuse various dialog modes, it is essential to build a system that can effectively handle both TOD and ODD and access different knowledge sources. To address the lack of available data for the fused task, we propose a framework for automatically generating dialogues that combine knowledge-grounded ODDs and TODs in various settings. Additionally, we introduce a unified model PivotBot that is capable of appropriately adopting TOD and ODD modes and accessing different knowledge sources in order to effectively tackle the fused task. Evaluation results demonstrate the superior ability of the proposed model to switch seamlessly between TOD and ODD tasks.

翻译：针对不同类型对话场景（如任务型对话和开放域对话）的对话系统构建已取得诸多进展。为更好地模拟人类对话中常见的多模式融合特征，亟需构建能同时处理任务型对话与开放域对话、并访问不同知识源的有效系统。针对融合任务中可用数据匮乏的现状，本文提出一种自动生成对话的框架，该框架能在多种场景下结合基于知识的开放域对话与任务型对话。此外，我们引入统一模型PivotBot，该模型能灵活切换任务型对话与开放域对话模式并访问不同知识源，从而高效处理融合任务。评估结果表明，该模型在任务型对话与开放域任务间无缝切换方面具有卓越能力。