| Dependency Parsing via Sequence Generation B Lin, Z Yao, J Shi, S Cao, B Tang, S Li, Y Luo, J Li, L Hou Findings of the Association for Computational Linguistics: EMNLP 2022, 7339-7353, 2022 | 11 | 2022 |
| Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection B Tang, B Lin, H Yan, S Li Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 5 | 2024 |
| Simple Tagging System with RoBERTa for Ancient Chinese B Tang, B Lin, S Li Proceedings of the Second Workshop on Language Technologies for Historical …, 2022 | 4 | 2022 |
| ChatGPT is a Potential Zero-Shot Dependency Parser B Lin, X Zhou, B Tang, X Gong, S Li arXiv preprint arXiv:2310.16654, 2023 | 2 | 2023 |
| Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing B Lin, M Li, S Li, Y Luo Findings of the Association for Computational Linguistics: EMNLP 2021, 2158-2167, 2021 | 2 | 2021 |
| Visual Enhanced Entity-Level Interaction Network for Multimodal Summarization H Yan, B Tang, B Lin, G Zhao, S Li Findings of the Association for Computational Linguistics: NAACL 2024, 3248-3260, 2024 | 1 | 2024 |
| Multimodal summarization with modality features alignment and features filtering B Tang, B Lin, Z Chang, S Li Neurocomputing 603, 128270, 2024 | | 2024 |
| TOP: A New Target-Audience Oriented Content Paraphrase Task B Lin, J Shi, H Yan, B Tang, X Gong, S Li arXiv preprint arXiv:2407.09992, 2024 | | 2024 |
| Schema-Free Dependency Parsing via Sequence Generation B Lin, Z Yao, J Shi, S Cao, B Tang, S Li, Y Luo, J Li, L Hou arXiv preprint arXiv:2201.12407, 2022 | | 2022 |
