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2020 – today
- 2022
[c17]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. ACL (Findings) 2022: 1672-1681- [c16]Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) 2022: 2251-2262 - [c15]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. ACL (1) 2022: 2277-2287 - [c14]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. COLING 2022: 6916-6926 - [c13]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. EMNLP 2022: 6878-6890 - [i11]Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng:
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. CoRR abs/2203.10900 (2022) - [i10]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. CoRR abs/2203.12257 (2022) - 2021
- [c12]Ruidan He, Linlin Liu
, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. ACL/IJCNLP (1) 2021: 2208-2222 - [c11]Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li:
Bootstrapped Unsupervised Sentence Representation Learning. ACL/IJCNLP (1) 2021: 5168-5180 - [c10]Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam:
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. EMNLP (1) 2021: 9220-9230 - [c9]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:
Overview of Argumentative Text Understanding for AI Debater Challenge. NLPCC (2) 2021: 548-568 - [i9]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. CoRR abs/2106.03164 (2021) - [i8]Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. CoRR abs/2108.13655 (2021) - [i7]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Knowledge Based Multilingual Language Model. CoRR abs/2111.10962 (2021) - 2020
- [c8]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method by Mutual Information Maximization. EMNLP (1) 2020: 1601-1610 - [c7]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. EMNLP (1) 2020: 7386-7399 - [c6]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. IJCAI 2020: 3672-3678 - [i6]Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing:
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification. CoRR abs/2009.11538 (2020) - [i5]Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing:
An Unsupervised Sentence Embedding Method byMutual Information Maximization. CoRR abs/2009.12061 (2020) - [i4]Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan:
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. CoRR abs/2011.11499 (2020)
2010 – 2019
- 2019
- [c5]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. ACL (1) 2019: 504-515 - [i3]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis. CoRR abs/1906.06906 (2019) - 2018
- [c4]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Exploiting Document Knowledge for Aspect-level Sentiment Classification. ACL (2) 2018: 579-585 - [c3]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Effective Attention Modeling for Aspect-Level Sentiment Classification. COLING 2018: 1121-1131 - [c2]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. EMNLP 2018: 3467-3476 - [i2]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Exploiting Document Knowledge for Aspect-level Sentiment Classification. CoRR abs/1806.04346 (2018) - [i1]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. CoRR abs/1809.00530 (2018) - 2017
- [c1]Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Unsupervised Neural Attention Model for Aspect Extraction. ACL (1) 2017: 388-397
Coauthor Index
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