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In the context of text classification, the financial burden of annotation exercises for creating training data is a critical issue.
Query by committee
H Sebastian Seung, Manfred Opper, and Haim Sompolinsky. 1992 · 1992
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A sequential algorithm for training text classifiers
David D. Lewis and William A. Gale. 1994 · 1994
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Investigating the effects of selective sampling on the annotation task
Ben Hachey, Beatrice Alex, and Markus Becker. 2005 · 2005
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Active learning with real annotation costs
Burr Settles, Mark Craven, and Lewis Friedland. 2008 · 2008
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Fan Huang, Haewoon Kwak, and Jisun An. 2023 · 2023
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Human still wins over llm: An empirical study of active learning on domain-specific annotation tasks
Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yun Wang, Peng Zhang, Tun Lu, Toby Jia-Jun Li, and Dakuo Wang. 2023 · 2023
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Allsh: Active learning guided by local sensitivity and hardness
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, and Mingyuan Zhou. 2022a
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Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, and Chao Zhang. 2023 · 2023
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Llmaaa: Making large language models as active annotators
Ruoyu Zhang, Yanzeng Li, Yongliang Ma, Ming Zhou, and Lei Zou. 2023 · 2023
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