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Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion

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arxiv 2003.01338 v1 pith:ONYYC6L2 submitted 2020-03-03 cs.AI cs.CL

classification cs.AIcs.CL
keywords systemcontextdialoguehierarchicalinformationmulti-domaintaskcapture
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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.

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