1 code implementation • ACM Transactions on Information Systems 2021 • Ruijian Xu, Chongyang Tao, Jiazhan Feng, Wei Wu, Rui Yan, Dongyan Zhao
To tackle these challenges, we propose a representation[K]-interaction[L]-matching framework that explores multiple types of deep interactive representations to build context-response matching models for response selection.
no code implementations • 14 Sep 2020 • Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan
To address these issues, in this paper, we propose learning a context-response matching model with auxiliary self-supervised tasks designed for the dialogue data based on pre-trained language models.
Ranked #4 on Conversational Response Selection on E-commerce
no code implementations • 19 Nov 2018 • Lili Yao, Ruijian Xu, Chao Li, Dongyan Zhao, Rui Yan
To build an open-domain multi-turn conversation system is one of the most interesting and challenging tasks in Artificial Intelligence.