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 | 1880 | 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 | 1317 | 2016 |
A language-independent neural network for event detection X Feng, B Qin, T Liu Science China Information Sciences 61, 1-12, 2018 | 321 | 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 | 143 | 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 | 119 | 2017 |
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 | 117 | 2023 |
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 | 88 | 2018 |
A survey on dialogue summarization: Recent advances and new frontiers X Feng, X Feng, B Qin arXiv preprint arXiv:2107.03175, 2021 | 87 | 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 | 81 | 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 | 80* | 2020 |
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 | 79 | 2018 |
Topic-to-essay generation with neural networks. X Feng, M Liu, J Liu, B Qin, Y Sun, T Liu IJCAI, 4078-4084, 2018 | 78 | 2018 |
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 | 69 | 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 | 67 | 2020 |
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 | 56 | 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 | 50 | 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 | 41 | 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 | 32 | 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 |
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 | 26 | 2020 |