论文标题
多域对话状态一代的平行交互式网络
Parallel Interactive Networks for Multi-Domain Dialogue State Generation
论文作者
论文摘要
在现有的多域对话状态跟踪（MDST）模型中未完全考虑系统和用户话语之间的依赖性和用户话语之间的依赖性。在这项研究中，我们认为这些依赖关系的结合对于MDST的设计至关重要，并提出了平行的交互式网络（PIN）来对这些依赖性进行建模。具体而言，我们将交互式编码器集成在一起，以共同对往返的依赖性和跨转向依赖性进行建模。引入了插槽级上下文，以提取不同插槽的更具表现力的功能。并利用分布式复制机制从历史系统话语或历史用户话语中选择性复制单词。经验研究证明了所提出的PIN模型的优越性。
The dependencies between system and user utterances in the same turn and across different turns are not fully considered in existing multidomain dialogue state tracking (MDST) models. In this study, we argue that the incorporation of these dependencies is crucial for the design of MDST and propose Parallel Interactive Networks (PIN) to model these dependencies. Specifically, we integrate an interactive encoder to jointly model the in-turn dependencies and cross-turn dependencies. The slot-level context is introduced to extract more expressive features for different slots. And a distributed copy mechanism is utilized to selectively copy words from historical system utterances or historical user utterances. Empirical studies demonstrated the superiority of the proposed PIN model.
