Author:
Liu Mingyi,Tu Zhiying,Zhang Tong,Su Tonghua,Xu Xiaofei,Wang Zhongjie
Funder
the National Key Research and Development Program of China
the National Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Reference45 articles.
1. Awasthi P, Balcan MF, Long PM (2014) The power of localization for efficiently learning linear separators with noise. In: Proceedings of the forty-sixth annual ACM symposium on Theory of computing, pp 449–458. ACM
2. Boreshban Y, Mirbostani SM, Ghassem-Sani G, Mirroshandel SA, Amiriparian S (2021) Improving question answering performance using knowledge distillation and active learning. arXiv preprint arXiv:2109.12662
3. Chen Y, Lasko TA, Mei Q, Denny JC, Xu H (2015) A study of active learning methods for named entity recognition in clinical text. J Biomed Inform 58:11–18
4. Chiu JP, Nichols E (2016) Named entity recognition with bidirectional lstm-cnns. Trans Assoc Comput Linguist 4:357–370
5. Claveau V, Kijak E (2018) Strategies to select examples for active learning with conditional random fields. In: Gelbukh A (ed) Computational linguistics and intelligent text processing. Springer International Publishing, Cham, pp 30–43
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献