no code implementations • ACL (WebNLG, INLG) 2020 • Qipeng Guo, Zhijing Jin, Ning Dai, Xipeng Qiu, xiangyang xue, David Wipf, Zheng Zhang
Text verbalization of knowledge graphs is an important problem with wide application to natural language generation (NLG) systems.
1 code implementation • 29 Dec 2023 • Ning Dai, Wei Yu Tang, Tianshuo Zhou, David H. Mathews, Liang Huang
We then use gradient descent-based optimization methods to improve the extended objective function, and the distribution will gradually shrink towards a one-hot sequence (i. e., a single sequence).
no code implementations • 18 Jul 2023 • Sizhen Li, Ning Dai, He Zhang, Apoorv Malik, David H. Mathews, Liang Huang
First, it takes $O(n^6)$ for two sequences where n is the average sequence length.
no code implementations • 22 Dec 2020 • Jiong-Hao Wang, Yan-Bin Yang, Ning Dai, Yong Xu
Here we predict the existence of a secondorder topological insulating phase in an amorphous system without any crystalline symmetry.
Mesoscale and Nanoscale Physics Disordered Systems and Neural Networks
3 code implementations • 18 Mar 2020 • Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang
Recently, the emergence of pre-trained models (PTMs) has brought natural language processing (NLP) to a new era.
4 code implementations • ACL 2019 • Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang
Disentangling the content and style in the latent space is prevalent in unpaired text style transfer.