17 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 17 cited
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian +3
Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. Although several efforts have been made for CRS, two major…
cs.CL2020
Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
Kun Zhou, Wayne Xin Zhao, Yutao Zhu +2
Open-domain retrieval-based dialogue systems require a considerable amount of training data to learn their parameters. However, in practice, the negative samples of training data a…
cs.CL2019
Unsupervised Context Rewriting for Open Domain Conversation
Kun Zhou, Kai Zhang, Yu Wu +2
Context modeling has a pivotal role in open domain conversation. Existing works either use heuristic methods or jointly learn context modeling and response generation with an encod…