Lidong Bing
Lidong Bing
Alibaba DAMO, Tencent, CMU, CUHK
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Cited by
Cited by
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
Transformation Networks for Target-Oriented Sentiment Classification
X Li, L Bing, W Lam, B Shi
ACL, 2018
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
Abstractive multi-document summarization via phrase selection and merging
L Bing, P Li, Y Liao, W Lam, W Guo, RJ Passonneau
ACL, 2015
Neural Rating Regression with Abstractive Tips Generation for Recommendation
P Li, Z Wang, Z Ren, L Bing, W Lam
SIGIR, 2017
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
X Li, L Bing, P Li, W Lam
AAAI, 2019
Aspect Term Extraction with History Attention and Selective Transformation
X Li, L Bing, P Li, W Lam, Z Yang
IJCAI, 2018
Exploiting BERT for end-to-end aspect-based sentiment analysis
X Li, L Bing, W Zhang, W Lam
arXiv preprint arXiv:1910.00883, 2019
Reader-Aware Multi-Document Summarization via Sparse Coding
P Li, L Bing, W Lam, H Li, Y Liao
IJCAI 2015, 1270-1276, 2015
Salience estimation via variational auto-encoders for multi-document summarization
P Li, Z Wang, W Lam, Z Ren, L Bing
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
A fuzzy logic approach for opinion mining on large scale twitter data
L Bing, KCC Chan
2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing …, 2014
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context
L Bing, W Lam, TL Wong, S Jameel
ACM Transactions on Information Systems (TOIS) 33 (2), 6:1--6:38, 2015
Actor-critic based training framework for abstractive summarization
P Li, L Bing, W Lam
arXiv preprint arXiv:1803.11070, 2018
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning
L Bing, W Lam, TL Wong
Proceedings of the sixth ACM international conference on Web search and data …, 2013
Difficulty Controllable Generation of Reading Comprehension Questions
Y Gao, L Bing, W Chen, I King, MR Lyu
IJCAI, 2019
Towards a unified solution: data record region detection and segmentation
L Bing, W Lam, Y Gu
Proceedings of the 20th ACM international conference on Information and …, 2011
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
Variational autoregressive decoder for neural response generation
J Du, W Li, Y He, R Xu, L Bing, X Wang
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists
L Bing, S Chaudhari, RC Wang, WW Cohen
EMNLP, 2015
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
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