| Year | Title | Author | Publication | Code | Tasks | Notes | Datasets | Notions |
|---|---|---|---|---|---|---|---|---|
| 2020 | Using error decay prediction to overcome practical issues of deep active learning for named entity recognition | Chang et al. | Machine Learning | - | named entity recognition | error reduction, MLP, None, Tra, Hard |
Synthetic Dataset, CoNLL 2003 English NER, NCBI disease, MedMentions, | (a) inability to use uncertainty sampling with black-box models, (b) lack of robustness to labeling noise, and (c) lack of trans- parency. In response, we propose a transparent batch active sampling framework by estimating the error decay curves of multiple feature-defined subsets of the data. |