1 code implementation • 19 Nov 2023 • Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen
To the best of our knowledge, Visual-C$^3$ is the first real-world visual and the largest human-crafted dataset for the Chinese character checking scenario.
1 code implementation • 25 Oct 2022 • Lizhao Liu, Kunyang Lin, Shangxin Huang, Zhongli Li, Chao Li, Yunbo Cao, Qingyu Zhou
Moreover, there are no standardized benchmarks to provide a fair comparison between different stroke extraction methods, which, we believe, is a major impediment to the development of Chinese character stroke understanding and related tasks.
2 code implementations • 19 Oct 2022 • Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Li Yangning, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen
Extensive experiments and detailed analyses not only demonstrate that the training data constructed by our method effectively improves the performance of CGEC models, but also reflect that our benchmark is an excellent resource for further development of the CGEC field.
1 code implementation • 19 Oct 2022 • Yinghui Li, Shirong Ma, Qingyu Zhou, Zhongli Li, Li Yangning, Shulin Huang, Ruiyang Liu, Chao Li, Yunbo Cao, Haitao Zheng
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors.
1 code implementation • COLING 2022 • Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu
To automatically correct handwritten assignments, the traditional approach is to use an OCR model to recognize characters and compare them to answers.
1 code implementation • Findings (ACL) 2022 • Shaopeng Lai, Qingyu Zhou, Jiali Zeng, Zhongli Li, Chao Li, Yunbo Cao, Jinsong Su
First, they simply mix additionally-constructed training instances and original ones to train models, which fails to help models be explicitly aware of the procedure of gradual corrections.
no code implementations • Findings (ACL) 2022 • Yinghui Li, Qingyu Zhou, Yangning Li, Zhongli Li, Ruiyang Liu, Rongyi Sun, Zizhen Wang, Chao Li, Yunbo Cao, Hai-Tao Zheng
However, there exists a gap between the learned knowledge of PLMs and the goal of CSC task.
1 code implementation • Findings (ACL) 2022 • Zhongli Li, Wenxuan Zhang, Chao Yan, Qingyu Zhou, Chao Li, Hongzhi Liu, Yunbo Cao
Math Word Problem (MWP) solving needs to discover the quantitative relationships over natural language narratives.
1 code implementation • Findings (ACL) 2021 • Heng-Da Xu, Zhongli Li, Qingyu Zhou, Chao Li, Zizhen Wang, Yunbo Cao, Heyan Huang, Xian-Ling Mao
Chinese Spell Checking (CSC) aims to detect and correct erroneous characters for user-generated text in the Chinese language.
Ranked #2 on Chinese Spell Checking on SIGHAN 2015
1 code implementation • Findings (ACL) 2021 • Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu, Yunbo Cao
Pre-trained Transformer-based neural language models, such as BERT, have achieved remarkable results on varieties of NLP tasks.
1 code implementation • ACL 2020 • Zhongli Li, Wenhui Wang, Li Dong, Furu Wei, Ke Xu
Our approach outperforms previous unsupervised approaches by a large margin and is competitive with early supervised models.
Ranked #189 on Question Answering on SQuAD1.1