Papers with low-resource setting influence
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set (D19-1)
Copied to clipboard
| Challenge: | Using development sets for low-resource training is often more effective . however, some studies show that early stopping can overestimate performance . |
| Approach: | They find that early stopping on a development set is more effective than using all available data for training. |
| Outcome: | The proposed model overestimates accuracy over languages and tasks by 1.4% compared to a more realistic set of training epochs. |