| An unsupervised neural attention model for aspect extraction R He, WS Lee, HT Ng, D Dahlmeier Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 409 | 2017 |
| Effective attention networks for aspect-level sentiment classification HT Nguyen, M Le Nguyen 2018 10th International Conference on Knowledge and Systems Engineering (KSE …, 2018 | 235 | 2018 |
| An interactive multi-task learning network for end-to-end aspect-based sentiment analysis R He, WS Lee, HT Ng, D Dahlmeier arXiv preprint arXiv:1906.06906, 2019 | 205 | 2019 |
| Exploiting document knowledge for aspect-level sentiment classification R He, WS Lee, HT Ng, D Dahlmeier arXiv preprint arXiv:1806.04346, 2018 | 176 | 2018 |
| An unsupervised sentence embedding method by mutual information maximization Y Zhang, R He, Z Liu, KH Lim, L Bing arXiv preprint arXiv:2009.12061, 2020 | 108 | 2020 |
| 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 arXiv preprint arXiv:2106.03164, 2021 | 72 | 2021 |
| Adaptive semi-supervised learning for cross-domain sentiment classification R He, WS Lee, HT Ng, D Dahlmeier arXiv preprint arXiv:1809.00530, 2018 | 61 | 2018 |
| Feature adaptation of pre-trained language models across languages and domains with robust self-training H Ye, Q Tan, R He, J Li, HT Ng, L Bing arXiv preprint arXiv:2009.11538, 2020 | 25* | 2020 |
| MELM: Data augmentation with masked entity language modeling for low-resource NER R Zhou, X Li, R He, L Bing, E Cambria, L Si, C Miao arXiv preprint arXiv:2108.13655, 2021 | 23 | 2021 |
| Unsupervised domain adaptation of a pretrained cross-lingual language model J Li, R He, H Ye, HT Ng, L Bing, R Yan arXiv preprint arXiv:2011.11499, 2020 | 23 | 2020 |
| Cross-lingual aspect-based sentiment analysis with aspect term code-switching W Zhang, R He, H Peng, L Bing, W Lam Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 19 | 2021 |
| Bootstrapped unsupervised sentence representation learning Y Zhang, R He, Z Liu, L Bing, H Li Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 18 | 2021 |
| Unsupervised neural attention model for aspect extraction HE Ruidan, D Dahlmeier US Patent 10,755,174, 2020 | 15 | 2020 |
| Document-level relation extraction with adaptive focal loss and knowledge distillation Q Tan, R He, L Bing, HT Ng arXiv preprint arXiv:2203.10900, 2022 | 14 | 2022 |
| Knowledge based multilingual language model L Liu, X Li, R He, L Bing, S Joty, L Si arXiv preprint arXiv:2111.10962, 2021 | 8 | 2021 |
| Machine learning framework for facilitating engagements DHR Dahlmeier, HE Ruidan, W Wenya, KS Mung, MYA GAFOOR, ... US Patent 11,281,989, 2022 | 7 | 2022 |
| Enhancing multilingual language model with massive multilingual knowledge triples L Liu, X Li, R He, L Bing, S Joty, L Si Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 5 | 2022 |
| Unsupervised aspect extraction from raw data using word embeddings HE Ruidan, D Dahlmeier US Patent 10,223,354, 2019 | 5 | 2019 |
| IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks L Cheng, L Bing, R He, Q Yu, Y Zhang, L Si arXiv preprint arXiv:2203.12257, 2022 | 4 | 2022 |
| MELM: data augmentation with masked entity language modeling for cross-lingual NER R Zhou, R He, X Li, L Bing, E Cambria, L Si, C Miao CoRR, abs/2108.13655, 2021 | 3 | 2021 |
Hwee Tou NgProvost's Chair Professor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
