no code implementations • 10 Jul 2020 • Xugong Qin, Yu Zhou, Dayan Wu, Yinliang Yue, Weiping Wang
Accurate detection of multi-oriented text with large variations of scales, orientations, and aspect ratios is of great significance.
no code implementations • 15 Oct 2020 • Liang Li, Can Ma, Yinliang Yue, Linjun Shou, Dayong Hu
Secondly, the target texts in training dataset may contain redundant information or facts do not exist in the input tables.
1 code implementation • ACL 2021 • Liang Li, Can Ma, Yinliang Yue, Dayong Hu
However, it is hard for a vanilla encoder to capture these.
Ranked #1 on Table-to-Text Generation on RotoWire
1 code implementation • 22 Nov 2021 • Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao
The core objective of modelling recommender systems from implicit feedback is to maximize the positive sample score $s_p$ and minimize the negative sample score $s_n$, which can usually be summarized into two paradigms: the pointwise and the pairwise.
no code implementations • COLING 2022 • Liang Li, Ruiying Geng, Bowen Li, Can Ma, Yinliang Yue, Binhua Li, Yongbin Li
Most graph-to-text works are built on the encoder-decoder framework with cross-attention mechanism.