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Ruidan He
Ruidan He
Alibaba DAMO Academy
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
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
3542017
Effective attention networks for aspect-level sentiment classification
HT Nguyen, M Le Nguyen
2018 10th International Conference on Knowledge and Systems Engineering (KSE …, 2018
1962018
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
1532019
Exploiting document knowledge for aspect-level sentiment classification
R He, WS Lee, HT Ng, D Dahlmeier
arXiv preprint arXiv:1806.04346, 2018
1472018
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
492020
Adaptive semi-supervised learning for cross-domain sentiment classification
R He, WS Lee, HT Ng, D Dahlmeier
arXiv preprint arXiv:1809.00530, 2018
442018
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
172021
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
17*2020
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
122020
Unsupervised neural attention model for aspect extraction
HE Ruidan, D Dahlmeier
US Patent 10,755,174, 2020
92020
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
72021
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
42021
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
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
12022
Knowledge Based Multilingual Language Model
L Liu, X Li, R He, L Bing, S Joty, L Si
arXiv preprint arXiv:2111.10962, 2021
12021
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
2022
Machine learning framework for facilitating engagements
DHR Dahlmeier, HE Ruidan, W Wenya, KS Mung, MYA GAFOOR, ...
US Patent 11,281,989, 2022
2022
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
2022
Overview of Argumentative Text Understanding for AI Debater Challenge
J Yuan, L Cheng, R He, Y Li, L Bing, Z Wei, Q Liu, C Shen, S Zhang, ...
CCF International Conference on Natural Language Processing and Chinese …, 2021
2021
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
arXiv preprint arXiv:2108.13655, 2021
2021
Adaptive semi-supervised learning for cross-domain sentiment classification
HE Ruidan
US Patent 10,817,668, 2020
2020
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