论文标题
开放域对话代理的概况一致性标识
Profile Consistency Identification for Open-domain Dialogue Agents
论文作者
论文摘要
保持一致的属性概况对于对话代理与人类自然交谈至关重要。现有关于提高属性一致性的研究主要探讨了如何将属性信息纳入响应中，但是很少有努力识别响应和属性概况之间的一致性关系。为了促进研究概况一致性识别的研究，我们创建了一个大规模的人类通知数据集，具有超过110k的单转交谈及其键值属性概况。响应和配置文件之间的明确关系是手动标记的。我们还提出了一个浓缩的BERT模型，以识别配置文件的一致性，并获得了对强基础的改进。对下游任务的进一步评估表明，配置文件一致性识别模型有利于提高对话一致性。
Maintaining a consistent attribute profile is crucial for dialogue agents to naturally converse with humans. Existing studies on improving attribute consistency mainly explored how to incorporate attribute information in the responses, but few efforts have been made to identify the consistency relations between response and attribute profile. To facilitate the study of profile consistency identification, we create a large-scale human-annotated dataset with over 110K single-turn conversations and their key-value attribute profiles. Explicit relation between response and profile is manually labeled. We also propose a key-value structure information enriched BERT model to identify the profile consistency, and it gained improvements over strong baselines. Further evaluations on downstream tasks demonstrate that the profile consistency identification model is conducive for improving dialogue consistency.
