| Constructing Narrative Event Evolutionary Graph for Script Event Prediction Z Li, X Ding, T Liu IJCAI 2018, 2018 | 220 | 2018 |
| Event representation learning enhanced with external commonsense knowledge X Ding, K Liao, T Liu, Z Li, J Duan arXiv preprint arXiv:1909.05190, 2019 | 80 | 2019 |
| Story ending prediction by transferable bert Z Li, X Ding, T Liu arXiv preprint arXiv:1905.07504, 2019 | 68 | 2019 |
| ELG: an event logic graph X Ding, Z Li, T Liu, K Liao arXiv preprint arXiv:1907.08015, 2019 | 63 | 2019 |
| Guided Generation of Cause and Effect. Z Li, X Ding, T Liu, JE Hu, B Van Durme IJCAI, 3629-3636, 2020 | 60 | 2020 |
| Generating reasonable and diversified story ending using sequence to sequence model with adversarial training Z Li, X Ding, T Liu Proceedings of the 27th International Conference on Computational …, 2018 | 44 | 2018 |
| EEG: knowledge base for event evolutionary principles and patterns Z Li, S Zhao, X Ding, T Liu Social Media Processing: 6th National Conference, SMP 2017, Beijing, China …, 2017 | 37 | 2017 |
| Learning to rank for plausible plausibility Z Li, T Chen, B Van Durme arXiv preprint arXiv:1906.02079, 2019 | 21 | 2019 |
| Causalbert: Injecting causal knowledge into pre-trained models with minimal supervision Z Li, X Ding, K Liao, B Qin, T Liu arXiv preprint arXiv:2107.09852, 2021 | 17 | 2021 |
| Modeling event background for if-then commonsense reasoning using context-aware variational autoencoder L Du, X Ding, T Liu, Z Li arXiv preprint arXiv:1909.08824, 2019 | 17 | 2019 |
| HIT-SCIR at SemEval-2020 task 5: Training pre-trained language model with pseudo-labeling data for counterfactuals detection X Ding, D Hao, Y Zhang, K Liao, Z Li, B Qin, T Liu Proceedings of the Fourteenth Workshop on Semantic Evaluation, 354-360, 2020 | 10 | 2020 |
| Improving cross-task generalization with step-by-step instructions Y Wu, Y Zhao, Z Li, B Qin, K Xiong arXiv preprint arXiv:2305.04429, 2023 | 5 | 2023 |
| TransBERT: a three-stage pre-training technology for story-ending prediction Z Li, X Ding, T Liu ACM Transactions on Asian and Low-Resource Language Information Processing …, 2021 | 4 | 2021 |
| ReCo: Reliable causal chain reasoning via structural causal recurrent neural networks K Xiong, X Ding, Z Li, L Du, B Qin, Y Zheng, B Huai arXiv preprint arXiv:2212.08322, 2022 | 3 | 2022 |
Liu TingHarbin Institute of Technology在 ir.hit.edu.cn 的电子邮件经过验证
