Papers with rule-based mechanisms
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision (2023.emnlp-main)
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| Challenge: | A cost-effective alternative to manual data labeling is weak supervision (WS), where data samples are automatically annotated using a predefined set of labeling functions (LFs). |
| Approach: | They propose an algorithm which denoises WS data by leveraging models trained on all but some LFs to identify and correct biases specific to the held-out LF. |
| Outcome: | The proposed algorithm denoises WS data by leveraging models trained on all but some LFs to identify and correct biases specific to the held-out LF. |