| Effective LSTMs for target-dependent sentiment classification D Tang, B Qin, X Feng, T Liu Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 1094* | 2016 |
| Codebert: A pre-trained model for programming and natural languages Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... Findings of EMNLP 2020, 2020 | 968 | 2020 |
| A language-independent neural network for event detection X Feng, B Qin, T Liu Science China Information Sciences 61, 1-12, 2018 | 292 | 2018 |
| Liberal event extraction and event schema induction L Huang, T Cassidy, X Feng, H Ji, C Voss, J Han, A Sil Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 119 | 2016 |
| Effective Deep Memory Networks for Distant Supervised Relation Extraction. X Feng, J Guo, B Qin, T Liu, Y Liu IJCAI 17, 1-7, 2017 | 99 | 2017 |
| Semantic parsing with syntax-and table-aware sql generation Y Sun, D Tang, N Duan, J Ji, G Cao, X Feng, B Qin, T Liu, M Zhou arXiv preprint arXiv:1804.08338, 2018 | 80 | 2018 |
| Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. X Feng, X Feng, B Qin, Z Feng, T Liu IJCAI 1, 4071-4077, 2018 | 61 | 2018 |
| Topic-to-essay generation with neural networks. X Feng, M Liu, J Liu, B Qin, Y Sun, T Liu IJCAI, 4078-4084, 2018 | 60 | 2018 |
| Table-to-text generation with effective hierarchical encoder on three dimensions (row, column and time) H Gong, X Feng, B Qin, T Liu arXiv preprint arXiv:1909.02304, 2019 | 47 | 2019 |
| Dialogue discourse-aware graph convolutional networks for abstractive meeting summarization X Feng, X Feng, B Qin, X Geng, T Liu arXiv preprint arXiv:2012.03502 12, 2020 | 46* | 2020 |
| A survey on dialogue summarization: Recent advances and new frontiers X Feng, X Feng, B Qin arXiv preprint arXiv:2107.03175, 2021 | 43 | 2021 |
| The factual inconsistency problem in abstractive text summarization: A survey Y Huang, X Feng, X Feng, B Qin arXiv preprint arXiv:2104.14839, 2021 | 42 | 2021 |
| Incorporating commonsense knowledge into abstractive dialogue summarization via heterogeneous graph networks X Feng, X Feng, B Qin Chinese Computational Linguistics: 20th China National Conference, CCL 2021 …, 2021 | 41 | 2021 |
| Tablegpt: Few-shot table-to-text generation with table structure reconstruction and content matching H Gong, Y Sun, X Feng, B Qin, W Bi, X Liu, T Liu Proceedings of the 28th International Conference on Computational …, 2020 | 39 | 2020 |
| Language model as an annotator: Exploring DialoGPT for dialogue summarization X Feng, X Feng, L Qin, B Qin, T Liu arXiv preprint arXiv:2105.12544, 2021 | 38 | 2021 |
| Joint learning of question answering and question generation Y Sun, D Tang, N Duan, T Qin, S Liu, Z Yan, M Zhou, Y Lv, W Yin, X Feng, ... ieee transactions on knowledge and data engineering 32 (5), 971-982, 2019 | 37 | 2019 |
| Adaptive multi-pass decoder for neural machine translation X Geng, X Feng, B Qin, T Liu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 30 | 2018 |
| Enhancing neural data-to-text generation models with external background knowledge S Chen, J Wang, X Feng, F Jiang, B Qin, CY Lin Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 27 | 2019 |
| Neural semantic parsing in low-resource settings with back-translation and meta-learning Y Sun, D Tang, N Duan, Y Gong, X Feng, B Qin, D Jiang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8960-8967, 2020 | 22 | 2020 |
| Learning to rewrite for non-autoregressive neural machine translation X Geng, X Feng, B Qin Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 16 | 2021 |
Liu TingHarbin Institute of TechnologyDirección de correo verificada de ir.hit.edu.cn
