activity
20182023
most citedImproving Review Representations with User Attention and Product Attention for Sentiment Classification

39 citations · 77 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 25 cited

Towards Better Chain-of-Thought Prompting Strategies: A Survey

Zihan Yu, Liang He, Zhen Wu +2

Chain-of-Thought (CoT), a step-wise and coherent reasoning chain, shows its impressive strength when used as a prompting strategy for large language models (LLM). Recent years, the…

cs.CL2022★ 1 cited

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction

Yidong Wang, Hao Wu, Ao Liu +6

Target-oriented Opinion Words Extraction (TOWE) is a fine-grained sentiment analysis task that aims to extract the corresponding opinion words of a given opinion target from the se…

cs.CV2021★ 10 cited

Margin Calibration for Long-Tailed Visual Recognition

Yidong Wang, Bowen Zhang, Wenxin Hou +3

The long-tailed class distribution in visual recognition tasks poses great challenges for neural networks on how to handle the biased predictions between head and tail classes, i.e…

cs.CL2021★ 1 cited

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Zhen Wu, Lijun Wu, Qi Meng +5

Transformer architecture achieves great success in abundant natural language processing tasks. The over-parameterization of the Transformer model has motivated plenty of works to a…

cs.CL2020★ 1 cited

Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction

Zhen Wu, Fei Zhao, Xin-Yu Dai +2

Target-oriented opinion words extraction (TOWE) is a new subtask of ABSA, which aims to extract the corresponding opinion words for a given opinion target in a sentence. Recently,…

cs.CL2018★ 39 cited

Improving Review Representations with User Attention and Product Attention for Sentiment Classification

Zhen Wu, Xin-Yu Dai, Cunyan Yin +2

Neural network methods have achieved great success in reviews sentiment classification. Recently, some works achieved improvement by incorporating user and product information to g…