论文标题
分层上下文增强多域任务完成的多域对话系统
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion
论文作者
论文摘要
DSTC8-TRACK1挑战的任务1旨在开发端到端的多域对话系统，以在旅游信息台设置下实现复杂的用户的目标。本文介绍了我们提交的解决方案，分层上下文增强对话系统（HCEDS），以实现此任务。我们系统的主要动机是全面探索层次背景的潜力，以充分理解复杂的对话。更具体地说，我们将BERT应用于捕获令牌级别的信息，并采用注意机制来捕获句子级别的信息。排行榜中列出的结果表明，我们的系统在自动评估中获得了第一名，也是人类评估的第二名。
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings. This paper describes our submitted solution, Hierarchical Context Enhanced Dialogue System (HCEDS), for this task. The main motivation of our system is to comprehensively explore the potential of hierarchical context for sufficiently understanding complex dialogues. More specifically, we apply BERT to capture token-level information and employ the attention mechanism to capture sentence-level information. The results listed in the leaderboard show that our system achieves first place in automatic evaluation and the second place in human evaluation.
