no code implementations • Findings (ACL) 2022 • Weizhao Li, Junsheng Kong, Ben Liao, Yi Cai
Chatbot models have achieved remarkable progress in recent years but tend to yield contradictory responses.
no code implementations • 2 Dec 2021 • Junsheng Kong, Weizhao Li, Ben Liao, Jiezhong Qiu, Chang-Yu, Hsieh, Yi Cai, Jinhui Zhu, Shengyu Zhang
Then, NES computes the network embedding from this representative subgraph, efficiently.
no code implementations • 15 Sep 2021 • Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang
In this work, we show that with merely a small fraction of contexts (Q-contexts)which are typical in the whole corpus (and their mutual information with words), one can construct high-quality word embedding with negligible errors.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Junsheng Kong, Zhicheng Zhong, Yi Cai, Xin Wu, Da Ren
Neural response generative models have achieved remarkable progress in recent years but tend to yield irrelevant and uninformative responses.