| 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 | 2202 | 2020 |
| 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 | 1361 | 2016 |
| A language-independent neural network for event detection X Feng, B Qin, T Liu Science China Information Sciences 61, 1-12, 2018 | 327 | 2018 |
| A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions L Huang, W Yu, W Ma, W Zhong, Z Feng, H Wang, Q Chen, W Peng, ... arXiv preprint arXiv:2311.05232, 2023 | 284 | 2023 |
| 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 | 155 | 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 | 124 | 2017 |
| The factual inconsistency problem in abstractive text summarization: A survey Y Huang, X Feng, X Feng, B Qin arXiv preprint arXiv:2104.14839, 2021 | 96 | 2021 |
| 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 | 94 | 2018 |
| A survey on dialogue summarization: Recent advances and new frontiers X Feng, X Feng, B Qin arXiv preprint arXiv:2107.03175, 2021 | 93 | 2021 |
| 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 17, 2020 | 85* | 2020 |
| Topic-to-essay generation with neural networks. X Feng, M Liu, J Liu, B Qin, Y Sun, T Liu IJCAI, 4078-4084, 2018 | 83 | 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 | 81 | 2018 |
| 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 | 79 | 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 | 73 | 2021 |
| CodeBERT: a pre-trained model for programming and natural languages (2020) Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... arXiv preprint arXiv:2002.08155, 2002 | 65 | 2002 |
| 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 | 59 | 2019 |
| Incorporating commonsense knowledge into abstractive dialogue summarization via heterogeneous graph networks X Feng, X Feng, B Qin China National Conference on Chinese Computational Linguistics, 127-142, 2021 | 51 | 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 | 42 | 2019 |
| 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 | 33 | 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 | 31 | 2018 |
Liu TingHarbin Institute of TechnologyDirección de correo verificada de ir.hit.edu.cn
