An Unsupervised Neural Attention Model for Aspect Extraction. - Ruidan He; Wee Sun Lee; Hwee Tou Ng; Daniel Dahlmeier (ACL (1), 2017)

Exploiting Document Knowledge for Aspect-level Sentiment Classification. - Ruidan He; Wee Sun Lee; Hwee Tou Ng; Daniel Dahlmeier (ACL (2), 2018)

Effective Attention Modeling for Aspect-Level Sentiment Classification. - Ruidan He; Wee Sun Lee; Hwee Tou Ng; Daniel Dahlmeier (COLING, 2018)

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. - Ruidan He; Wee Sun Lee; Hwee Tou Ng; Daniel Dahlmeier (EMNLP, 2018)

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. - Ruidan He; Wee Sun Lee; Hwee Tou Ng; Daniel Dahlmeier (ACL (1), 2019)

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. - Hai Ye; Qingyu Tan; Ruidan He; Juntao Li; Hwee Tou Ng; Lidong Bing (EMNLP (1), 2020)

An Unsupervised Sentence Embedding Method by Mutual Information Maximization. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Kwan Hui Lim 001; Lidong Bing (EMNLP (1), 2020)

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. - Juntao Li; Ruidan He; Hai Ye; Hwee Tou Ng; Lidong Bing; Rui Yan 001 (IJCAI, 2020)

Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification. - Hai Ye; Qingyu Tan; Ruidan He; Juntao Li; Hwee Tou Ng; Lidong Bing (CoRR, 2020)

An Unsupervised Sentence Embedding Method byMutual Information Maximization. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Kwan Hui Lim 001; Lidong Bing (CoRR, 2020)

Bootstrapped Unsupervised Sentence Representation Learning. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Lidong Bing; Haizhou Li 001 (ACL/IJCNLP (1), 2021)

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. - Ruidan He; Linlin Liu; Hai Ye; Qingyu Tan; Bosheng Ding; Liying Cheng; Jia-Wei Low; Lidong Bing; Luo Si (ACL/IJCNLP (1), 2021)

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. - Wenxuan Zhang 001; Ruidan He; Haiyun Peng; Lidong Bing; Wai Lam (EMNLP (1), 2021)

Overview of Argumentative Text Understanding for AI Debater Challenge. - Jian Yuan; Liying Cheng; Ruidan He; Yinzi Li; Lidong Bing; Zhongyu Wei; Qin Liu 010; Chenhui Shen; Shuonan Zhang; Changlong Sun; Luo Si; Changjian Jiang; et al. (NLPCC (2), 2021)

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. - Ran Zhou 004; Ruidan He; Xin Li 056; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (CoRR, 2021)

Knowledge Based Multilingual Language Model. - Linlin Liu; Xin Li 056; Ruidan He; Lidong Bing; Shafiq R. Joty; Luo Si (CoRR, 2021)

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. - Liying Cheng; Lidong Bing; Ruidan He; Qian Yu; Yan Zhang 004; Luo Si (ACL (1), 2022)

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. - Qingyu Tan; Ruidan He; Lidong Bing; Hwee Tou Ng (ACL (Findings), 2022)

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. - Ran Zhou 004; Xin Li 056; Ruidan He; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (ACL (1), 2022)

Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. - Qingyu Tan; Ruidan He; Lidong Bing; Hwee Tou Ng (COLING, 2022)

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. - Linlin Liu; Xin Li 056; Ruidan He; Lidong Bing; Shafiq R. Joty; Luo Si (EMNLP, 2022)