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Lidong Bing
Lidong Bing
Other names邴立东
Alibaba DAMO, Tencent, CMU, CUHK
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
Recurrent attention network on memory for aspect sentiment analysis
P Chen, Z Sun, L Bing*, W Yang
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
7332017
Transformation Networks for Target-Oriented Sentiment Classification
X Li, L Bing, W Lam, B Shi
ACL, 2018
4002018
Neural Rating Regression with Abstractive Tips Generation for Recommendation
P Li, Z Wang, Z Ren, L Bing, W Lam
SIGIR, 2017
2252017
Deep Recurrent Generative Decoder for Abstractive Text Summarization
P Li, W Lam, L Bing, Z Wang
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
2172017
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
X Li, L Bing, P Li, W Lam
AAAI, 2019
2142019
Exploiting BERT for end-to-end aspect-based sentiment analysis
X Li, L Bing, W Zhang, W Lam
arXiv preprint arXiv:1910.00883, 2019
2062019
Aspect Term Extraction with History Attention and Selective Transformation
X Li, L Bing, P Li, W Lam, Z Yang
IJCAI, 2018
1882018
Abstractive multi-document summarization via phrase selection and merging
L Bing, P Li, Y Liao, W Lam, W Guo, RJ Passonneau
ACL, 2015
1742015
Knowing what, how and why: a near complete solution for aspect-based sentiment analysis
H Peng, L Xu, L Bing, F Huang, W Lu, L Si
AAAI, 2020
1452020
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
Y Zhang, R He, Z Liu, KH Lim, L Bing
EMNLP, 2020
832020
Position-Aware Tagging for Aspect Sentiment Triplet Extraction
L Xu, H Li, W Lu, L Bing
EMNLP, 2020
712020
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
Z Li, X Li, Y Wei, L Bing, Y Zhang, Q Yang
EMNLP, 2019
702019
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
B Ding, L Liu, L Bing, C Kruengkrai, TH Nguyen, S Joty, L Si, C Miao
EMNLP, 2020
632020
Difficulty Controllable Generation of Reading Comprehension Questions
Y Gao, L Bing, W Chen, I King, MR Lyu
IJCAI, 2019
60*2019
Salience estimation via variational auto-encoders for multi-document summarization
P Li, Z Wang, W Lam, Z Ren, L Bing
Thirty-first AAAI conference on artificial intelligence, 2017
572017
Reader-Aware Multi-Document Summarization via Sparse Coding
P Li, L Bing, W Lam, H Li, Y Liao
IJCAI 2015, 1270-1276, 2015
542015
Actor-critic based training framework for abstractive summarization
P Li, L Bing, W Lam
arXiv preprint arXiv:1803.11070, 2018
512018
Unsupervised extraction of popular product attributes from e-commerce web sites by considering customer reviews
L Bing, TL Wong, W Lam
ACM Transactions on Internet Technology (TOIT) 16 (2), 1-17, 2016
502016
A knowledge regularized hierarchical approach for emotion cause analysis
C Fan, H Yan, J Du, L Gui, L Bing, M Yang, R Xu, R Mao
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
452019
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
ACL, 2021
442021
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Articles 1–20