论文标题
多域对话状态跟踪的动态模式图融合网络
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
论文作者
论文摘要
对话状态跟踪（DST）旨在在对话过程中跟踪用户的意图。在DST中，建模域和插槽之间的关系仍然是一个研究不足的问题。考虑到这种关系的现有方法通常缺乏：（1）融合先前的老虎机成员关系关系和对话 - 意识到的动态插槽关系，以及（2）概括以看不见的域。要解决这些问题，我们提出了一部小说\ textbf {d} ynamic \ textbf {s} chema \ textbf {g} raph \ textbf {f} usion \ textbf {net} work（\ textbf {net} work（\ textbf {\ textbf {dsgfnet}），这会产生exply shema themem exply featim shema featian feation feation feation feation featian featian feation feation feation feation feir prifien fluse。对话感知动态插槽关系。它还使用模式促进知识转移到新领域。 DSGFNET由对话说法编码器，模式图编码器，对话感知的架构图不断发展的网络以及架构图增强对话状态解码器的组成。基准数据集（即SGD，MultiWoz2.1和MultiWoz2.2）上的经验结果表明，DSGFNET优于现有方法。
Dialogue State Tracking (DST) aims to keep track of users' intentions during the course of a conversation. In DST, modelling the relations among domains and slots is still an under-studied problem. Existing approaches that have considered such relations generally fall short in: (1) fusing prior slot-domain membership relations and dialogue-aware dynamic slot relations explicitly, and (2) generalizing to unseen domains. To address these issues, we propose a novel \textbf{D}ynamic \textbf{S}chema \textbf{G}raph \textbf{F}usion \textbf{Net}work (\textbf{DSGFNet}), which generates a dynamic schema graph to explicitly fuse the prior slot-domain membership relations and dialogue-aware dynamic slot relations. It also uses the schemata to facilitate knowledge transfer to new domains. DSGFNet consists of a dialogue utterance encoder, a schema graph encoder, a dialogue-aware schema graph evolving network, and a schema graph enhanced dialogue state decoder. Empirical results on benchmark datasets (i.e., SGD, MultiWOZ2.1, and MultiWOZ2.2), show that DSGFNet outperforms existing methods.
