| Table-to-text generation by structure-aware seq2seq learning T Liu, K Wang, L Sha, B Chang, Z Sui Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 192 | 2018 |
| A soft-label method for noise-tolerant distantly supervised relation extraction T Liu, K Wang, B Chang, Z Sui Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 127 | 2017 |
| Incorporating glosses into neural word sense disambiguation F Luo, T Liu, Q Xia, B Chang, Z Sui arXiv preprint arXiv:1805.08028, 2018 | 92 | 2018 |
| Order-planning neural text generation from structured data L Sha, L Mou, T Liu, P Poupart, S Li, B Chang, Z Sui Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 91 | 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 | 83 | 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 | 71 | 2016 |
| Towards improving neural named entity recognition with gazetteers T Liu, JG Yao, CY Lin Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 68 | 2019 |
| Leveraging gloss knowledge in neural word sense disambiguation by hierarchical co-attention F Luo, T Liu, Z He, Q Xia, Z Sui, B Chang Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 56 | 2018 |
| Enhancing topic-to-essay generation with external commonsense knowledge P Yang, L Li, F Luo, T Liu, X Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 46 | 2019 |
| Learning to control the fine-grained sentiment for story ending generation F Luo, D Dai, P Yang, T Liu, B Chang, Z Sui, X Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 34 | 2019 |
| Phrase-level self-attention networks for universal sentence encoding W Wu, H Wang, T Liu, S Ma Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 34 | 2018 |
| Hierarchical encoder with auxiliary supervision for neural table-to-text generation: Learning better representation for tables T Liu, F Luo, Q Xia, S Ma, B Chang, Z Sui Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019 | 30 | 2019 |
| Finding spatial outliers in collective mobility patterns coupled with social ties M Wachowicz, T Liu International Journal of Geographical Information Science 30 (9), 1806-1831, 2016 | 30 | 2016 |
| Key fact as pivot: A two-stage model for low resource table-to-text generation S Ma, P Yang, T Liu, P Li, J Zhou, X Sun arXiv preprint arXiv:1908.03067, 2019 | 25 | 2019 |
| Large-scale simple question generation by template-based seq2seq learning T Liu, B Wei, B Chang, Z Sui National CCF Conference on Natural Language Processing and Chinese Computing …, 2017 | 16 | 2017 |
| Towards comprehensive description generation from factual attribute-value tables T Liu, F Luo, P Yang, W Wu, B Chang, Z Sui Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 14 | 2019 |
| Affinity-preserving random walk for multi-document summarization K Wang, T Liu, Z Sui, B Chang Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 14 | 2017 |
| Document-level event extraction via heterogeneous graph-based interaction model with a tracker R Xu, T Liu, L Li, B Chang arXiv preprint arXiv:2105.14924, 2021 | 13 | 2021 |
| A token-level reference-free hallucination detection benchmark for free-form text generation T Liu, Y Zhang, C Brockett, Y Mao, Z Sui, W Chen, B Dolan arXiv preprint arXiv:2104.08704, 2021 | 10 | 2021 |
| Towards faithfulness in open domain table-to-text generation from an entity-centric view T Liu, X Zheng, B Chang, Z Sui Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13415 …, 2021 | 8 | 2021 |
Baobao CHANGPeking UniversityVerified email at pku.edu.cn
