Wang, Chengyu

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations

2020 · arXiv (Cornell University)

Information-seeking conversation systems are increasingly popular in real-world applications, especially for e-commerce companies. To retrieve appropriate responses for users, it is necessary to compute the matching degrees between candidate responses and users' queries with historical …