no code implementations • COLING (TextGraphs) 2020 • Chuwei Luo, Yongpan Wang, Qi Zheng, Liangchen Li, Feiyu Gao, Shiyu Zhang
By incorporating geometry information from visual documents into our model, richer 2D context information is generated to improve document representations.
no code implementations • ECCV 2020 • Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng
Nowadays rich description on detail images help users know more about the commodities.
1 code implementation • 7 Mar 2023 • Hangdi Xing, Feiyu Gao, Rujiao Long, Jiajun Bu, Qi Zheng, Liangcheng Li, Cong Yao, Zhi Yu
Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats.
no code implementations • 17 Sep 2021 • Chengxi Li, Feiyu Gao, Jiajun Bu, Lu Xu, Xiang Chen, Yu Gu, Zirui Shao, Qi Zheng, Ningyu Zhang, Yongpan Wang, Zhi Yu
We inject sentiment knowledge regarding aspects, opinions, and polarities into prompt and explicitly model term relations via constructing consistency and polarity judgment templates from the ground truth triplets.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
2 code implementations • ICCV 2021 • Rujiao Long, Wen Wang, Nan Xue, Feiyu Gao, Zhibo Yang, Yongpan Wang, Gui-Song Xia
In contrast to existing studies that mainly focus on parsing well-aligned tabular images with simple layouts from scanned PDF documents, we aim to establish a practical table structure parsing system for real-world scenarios where tabular input images are taken or scanned with severe deformation, bending or occlusions.
no code implementations • NAACL 2019 • Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao
In VRDs, visual and layout information is critical for document understanding, and texts in such documents cannot be serialized into the one-dimensional sequence without losing information.