Papers by Ard Snijders
Investigating Multi-source Active Learning for Natural Language Inference (2023.eacl-main)
Copied to clipboard
| Challenge: | Recent studies often assume that training and test data are drawn from the same distribution. |
| Approach: | They propose to apply active learning to unlabelled data pools to test for learning and generalisation. |
| Outcome: | The proposed strategies outperform random selection and outperformed hard-to-learn data on the task of natural language inference. |