Ruidan He

According to our database, Ruidan He authored at least 21 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples.

Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning.

Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng

Proceedings of the 29th International Conference on Computational Linguistics, 2022

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER.

Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation.

Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.

Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Knowledge Based Multilingual Language Model.

Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si

CoRR, 2021

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER.

Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao

CoRR, 2021

Overview of Argumentative Text Understanding for AI Debater Challenge.

Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching.

Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Bootstrapped Unsupervised Sentence Representation Learning.

Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

An Unsupervised Sentence Embedding Method byMutual Information Maximization.

Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing

CoRR, 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

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model.

Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An Unsupervised Sentence Embedding Method by Mutual Information Maximization.

Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Effective Attention Modeling for Aspect-Level Sentiment Classification.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Exploiting Document Knowledge for Aspect-level Sentiment Classification.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

An Unsupervised Neural Attention Model for Aspect Extraction.

Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017