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 | 237 | 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 | 216 | 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 | 111 | 2016 |
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 | 106 | 2017 |
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 | 105 | 2018 |
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 | 93 | 2016 |
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 | 87 | 2016 |
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 | 38 | 2016 |
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 | 36 | 2018 |
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 | 36 | 2018 |
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 | 31 | 2021 |
Gradient-guided Unsupervised Lexically Constrained Text Generation L Sha Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 29 | 2020 |
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 | 28* | 2017 |
Joint learning templates and slots for event schema induction L Sha, S Li, B Chang, Z Sui arXiv preprint arXiv:1603.01333, 2016 | 27 | 2016 |
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 | 22 | 2015 |
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 | 20 | 2021 |
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 | 18 | 2021 |
Capturing Argument Relationship for Chinese Semantic Role Labeling. L Sha, S Li, B Chang, Z Sui, T Jiang EMNLP, 2011-2016, 2016 | 10 | 2016 |
Multi-type Disentanglement without Adversarial Training L Sha, T Lukasiewicz Proceedings of the 35th AAAI Conference on Artificial Intelligence‚ AAAI …, 2021 | 9 | 2021 |
Recognizing textual entailment using probabilistic inference L Sha, S Li, B Chang, Z Sui, T Jiang Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 9 | 2015 |