no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Bowen Wu, huan zhang, Mengyuan Li, Zongsheng Wang, Qihang Feng, Junhong Huang, Baoxun Wang
There are plenty of studies showing that the knowledge distillation is efficient in transferring the knowledge from BERT into the model with a smaller size of parameters.
no code implementations • ACL 2020 • Bowen Wu, Mengyuan Li, Zongsheng Wang, Yifu Chen, Derek Wong, Qihang Feng, Junhong Huang, Baoxun Wang
Leveraging persona information of users in Neural Response Generators (NRG) to perform personalized conversations has been considered as an attractive and important topic in the research of conversational agents over the past few years.
no code implementations • WS 2019 • Bowen Wu, Haoyang Huang, Zongsheng Wang, Qihang Feng, Jingsong Yu, Baoxun Wang
Despite the remarkable progress on Machine Reading Comprehension (MRC) with the help of open-source datasets, recent studies indicate that most of the current MRC systems unfortunately suffer from weak robustness against adversarial samples.
no code implementations • 14 Aug 2019 • Yifu Chen, Zongsheng Wang, Bowen Wu, Mengyuan Li, huan zhang, Lin Ma, Feng Liu, Qihang Feng, Baoxun Wang
Chinese meme-face is a special kind of internet subculture widely spread in Chinese Social Community Networks.
no code implementations • ICLR 2019 • Bowen Wu, Nan Jiang, Zhifeng Gao, Mengyuan Li, Zongsheng Wang, Suke Li, Qihang Feng, Wenge Rong, Baoxun Wang
Recent advances in sequence-to-sequence learning reveal a purely data-driven approach to the response generation task.