no code implementations • ACL 2022 • Zeming Liu, Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu
For example, users have determined the departure, the destination, and the travel time for booking a flight.
no code implementations • ACL 2021 • Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che
Learning discrete dialog structure graph from human-human dialogs yields basic insights into the structure of conversation, and also provides background knowledge to facilitate dialog generation.
no code implementations • 31 Dec 2020 • Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu
Learning interpretable dialog structure from human-human dialogs yields basic insights into the structure of conversation, and also provides background knowledge to facilitate dialog generation.
1 code implementation • COLING 2020 • Sijin Wu, Yujiu Yang, Nicholas Yung, Zhengchen Shen, Zeyang Lei
With the transformation of education from the traditional classroom environment to online education and assessment, it is more and more important to accurately assess the difficulty of questions than ever.
no code implementations • 26 Apr 2020 • Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie zhou
Furthermore, to facilitate the convergence of Gaussian mixture prior and posterior distributions, we devise a curriculum optimization strategy to progressively train the model under multiple training criteria from easy to hard.
no code implementations • 1 Dec 2019 • Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang
The sequence-to-sequence (Seq2Seq) model generates target words iteratively given the previously observed words during decoding process, which results in the loss of the holistic semantics in the target response and the complete semantic relationship between responses and dialogue histories.
no code implementations • ACL 2018 • Zeyang Lei, Yujiu Yang, Min Yang, Yi Liu
Deep learning approaches for sentiment classification do not fully exploit sentiment linguistic knowledge.
Ranked #5 on Sentiment Analysis on MR
4 code implementations • EMNLP 2018 • Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Suofei Zhang, Zhou Zhao
In this study, we explore capsule networks with dynamic routing for text classification.
Ranked #7 on Sentiment Analysis on MR