Modeling Topical Relevance for Multi-Turn Dialogue Generation

Hainan Zhang, Yanyan Lan, Liang Pang +3

Topic drift is a common phenomenon in multi-turn dialogue. Therefore, an ideal dialogue generation models should be able to capture the topic information of each context, detect th…