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Lei Sha
Lei Sha
Beihang University, ZGC Lab, Oxtium AI, University of Oxford
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Table-to-text generation by structure-aware seq2seq learning
T Liu, K Wang, L Sha, B Chang, Z Sui
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
2882018
Jointly extracting event triggers and arguments by dependency-bridge RNN and tensor-based argument interaction
L Sha, F Qian, B Chang, Z Sui
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
2782018
Towards time-aware knowledge graph completion
T Jiang, T Liu, T Ge, L Sha, B Chang, S Li, Z Sui
Proceedings of COLING 2016, the 26th International Conference on …, 2016
1652016
Encoding temporal information for time-aware link prediction
T Jiang, T Liu, T Ge, L Sha, S Li, B Chang, Z Sui
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
1272016
Order-planning neural text generation from structured data
L Sha, L Mou, T Liu, P Poupart, S Li, B Chang, Z Sui
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1222018
Attentive interactive neural networks for answer selection in community question answering
X Zhang, S Li, L Sha, H Wang
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
1112017
Reading and thinking: Re-read lstm unit for textual entailment recognition
L Sha, B Chang, Z Sui, S Li
Proceedings of COLING 2016, the 26th International Conference on …, 2016
912016
Associative memories via predictive coding
T Salvatori, Y Song, Y Hong, L Sha, S Frieder, Z Xu, R Bogacz, ...
Advances in Neural Information Processing Systems 34, 3874-3886, 2021
672021
Auto-dialabel: Labeling dialogue data with unsupervised learning
C Shi, Q Chen, L Sha, S Li, X Sun, H Wang, L Zhang
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
502018
RBPB: Regularization-based pattern balancing method for event extraction
L Sha, J Liu, CY Lin, S Li, B Chang, Z Sui
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
482016
Gradient-guided Unsupervised Lexically Constrained Text Generation
L Sha
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
432020
A multi-view fusion neural network for answer selection
L Sha, X Zhang, F Qian, B Chang, Z Sui
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
382018
Joint learning templates and slots for event schema induction
L Sha, S Li, B Chang, Z Sui
arXiv preprint arXiv:1603.01333, 2016
372016
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration
L Sha, OM Camburu, T Lukasiewicz
Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI …, 2021
342021
Syntax aware LSTM model for semantic role labeling
F Qian, L Sha, B Chang, L Liu, M Zhang
Proceedings of the 2nd Workshop on Structured Prediction for Natural …, 2017
34*2017
Finetuning large-scale pre-trained language models for conversational recommendation with knowledge graph
L Wang, H Hu, L Sha, C Xu, KF Wong, D Jiang
arXiv preprint arXiv:2110.07477, 2021
302021
Multi-label text categorization with joint learning predictions-as-features method
L Li, H Wang, X Sun, B Chang, S Zhao, L Sha
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
252015
RecInDial: A unified framework for conversational recommendation with pretrained language models
L Wang, H Hu, L Sha, C Xu, KF Wong, D Jiang
arXiv preprint arXiv:2110.07477, 2021
242021
Multi-type Disentanglement without Adversarial Training
L Sha, T Lukasiewicz
Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI …, 2021
132021
Capturing argument relationship for Chinese semantic role labeling
L Sha, S Li, B Chang, Z Sui, T Jiang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
132016
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