Recurrent attention network on memory for aspect sentiment analysis P Chen, Z Sun, L Bing*, W Yang Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 1035 | 2017 |
Transformation Networks for Target-Oriented Sentiment Classification X Li, L Bing, W Lam, B Shi ACL, 2018 | 549 | 2018 |
Exploiting BERT for end-to-end aspect-based sentiment analysis X Li, L Bing, W Zhang, W Lam arXiv preprint arXiv:1910.00883, 2019 | 368 | 2019 |
Knowing what, how and why: a near complete solution for aspect-based sentiment analysis H Peng, L Xu, L Bing, F Huang, W Lu, L Si AAAI, 2020 | 344 | 2020 |
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction X Li, L Bing, P Li, W Lam AAAI, 2019 | 339 | 2019 |
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding H Zhang, X Li, L Bing EMNLP, 2023 | 329 | 2023 |
Neural Rating Regression with Abstractive Tips Generation for Recommendation P Li, Z Wang, Z Ren, L Bing, W Lam SIGIR, 2017 | 323 | 2017 |
Aspect Term Extraction with History Attention and Selective Transformation X Li, L Bing, P Li, W Lam, Z Yang IJCAI, 2018 | 266 | 2018 |
Deep Recurrent Generative Decoder for Abstractive Text Summarization P Li, W Lam, L Bing, Z Wang Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 258 | 2017 |
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges W Zhang, X Li, Y Deng, L Bing, W Lam TKDE, 2022 | 237 | 2022 |
Position-Aware Tagging for Aspect Sentiment Triplet Extraction L Xu, H Li, W Lu, L Bing EMNLP, 2020 | 214 | 2020 |
Abstractive multi-document summarization via phrase selection and merging L Bing, P Li, Y Liao, W Lam, W Guo, RJ Passonneau ACL, 2015 | 195 | 2015 |
An Unsupervised Sentence Embedding Method by Mutual Information Maximization Y Zhang, R He, Z Liu, KH Lim, L Bing EMNLP, 2020 | 179 | 2020 |
Towards Generative Aspect-Based Sentiment Analysis W Zhang, X Li, Y Deng, L Bing, W Lam ACL, 2021 | 170 | 2021 |
Public sentiment analysis in Twitter data for prediction of a company's stock price movements L Bing, KCC Chan, C Ou 2014 IEEE 11th International Conference on e-Business Engineering, 232-239, 2014 | 160 | 2014 |
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks B Ding, L Liu, L Bing, C Kruengkrai, TH Nguyen, S Joty, L Si, C Miao EMNLP, 2020 | 144 | 2020 |
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction L Xu, YK Chia, L Bing ACL, 2021 | 143 | 2021 |
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation R He, L Liu, H Ye, Q Tan, B Ding, L Cheng, JW Low, L Bing, L Si ACL, 2021 | 140 | 2021 |
Is GPT-3 a Good Data Annotator? B Ding, C Qin, L Liu, B Li, S Joty, L Bing ACL, 2022 | 139 | 2022 |
Aspect Sentiment Quad Prediction as Paraphrase Generation W Zhang, Y Deng, X Li, Y Yuan, L Bing, W Lam EMNLP, 2021 | 139 | 2021 |