Template-free prompt tuning for few-shot NER R Ma, X Zhou, T Gui, Y Tan, L Li, Q Zhang, X Huang arXiv preprint arXiv:2109.13532, 2021 | 82 | 2021 |
Textflint: Unified multilingual robustness evaluation toolkit for natural language processing X Wang, Q Liu, T Gui, Q Zhang, Y Zou, X Zhou, J Ye, Y Zhang, R Zheng, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 52 | 2021 |
Textflint: Unified multilingual robustness evaluation toolkit for natural language processing T Gui, X Wang, Q Zhang, Q Liu, Y Zou, X Zhou, R Zheng, C Zhang, Q Wu, ... arXiv preprint arXiv:2103.11441, 2021 | 26 | 2021 |
Searching for optimal subword tokenization in cross-domain ner R Ma, Y Tan, X Zhou, X Chen, D Liang, S Wang, W Wu, T Gui, Q Zhang arXiv preprint arXiv:2206.03352, 2022 | 5 | 2022 |
Making parameter-efficient tuning more efficient: A unified framework for classification tasks X Zhou, R Ma, Y Zou, X Chen, T Gui, Q Zhang, XJ Huang, R Xie, W Wu Proceedings of the 29th International Conference on Computational …, 2022 | 3 | 2022 |
Plug-tagger: A pluggable sequence labeling framework using language models X Zhou, R Ma, T Gui, Y Tan, Q Zhang, X Huang arXiv preprint arXiv:2110.07331, 2021 | 2 | 2021 |
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion X Zhou, J Lu, T Gui, R Ma, Z Fei, Y Wang, Y Ding, Y Cheung, Q Zhang, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 1 | 2022 |
LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases Z Fei, X Zhou, T Gui, Q Zhang, XJ Huang Proceedings of the 29th International Conference on Computational …, 2022 | 1 | 2022 |
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations X Zhou, Y Lu, R Ma, T Gui, Y Wang, Y Ding, Y Zhang, Q Zhang, XJ Huang Findings of the Association for Computational Linguistics: ACL 2023, 5459-5473, 2023 | | 2023 |
Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER R Ma, X Chen, Z Lin, X Zhou, J Wang, T Gui, Q Zhang, X Gao, YW Chen Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | | 2023 |
Coarse-to-fine Few-shot Learning for Named Entity Recognition R Ma, Z Lin, X Chen, X Zhou, J Wang, T Gui, Q Zhang, X Gao, YW Chen Findings of the Association for Computational Linguistics: ACL 2023, 4115-4129, 2023 | | 2023 |