Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion
This work addresses the challenge of multi-domain task completion in dialogue systems, but it is incremental as it builds on existing methods like BERT and attention mechanisms.
The paper tackled the problem of developing an end-to-end multi-domain dialogue system for complex user goals in tourist settings, achieving first place in automatic evaluation and second in human evaluation on the DSTC8-track1 challenge.
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.