Papers by Muhammad Hassan Rashid
Revisiting Sample Size Determination in Natural Language Understanding (2023.findings-acl)
Copied to clipboard
Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra
| Challenge: | Recent work has sought to reduce the annotation costs through the use of active learning and data sampling. |
| Approach: | They propose to estimate the training sample size needed to achieve a targeted model performance based on small amount of training samples. |
| Outcome: | The proposed approach predicts model performance within a small margin of mean absolute error (0.9%) with only 10% data. |