| 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 | 279 | 2018 |
| 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 | 264 | 2018 |
| 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 | 151 | 2016 |
| 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 | 120 | 2016 |
| 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 | 118 | 2018 |
| 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 | 111 | 2017 |
| 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 | 89 | 2016 |
| 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 | 59 | 2021 |
| 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 | 47 | 2018 |
| 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 | 47 | 2016 |
| Gradient-guided Unsupervised Lexically Constrained Text Generation L Sha Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 39 | 2020 |
| 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 | 38 | 2018 |
| Joint learning templates and slots for event schema induction L Sha, S Li, B Chang, Z Sui arXiv preprint arXiv:1603.01333, 2016 | 35 | 2016 |
| 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 | 34 | 2021 |
| 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 | 27 | 2021 |
| 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 | 25 | 2015 |
| 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 | 20 | 2021 |
| 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 | 13 | 2016 |
| Multi-type Disentanglement without Adversarial Training L Sha, T Lukasiewicz Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI …, 2021 | 12 | 2021 |
Baobao CHANGPeking UniversityVerified email at pku.edu.cn
