Papers with token-level acquisition functions
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition (2023.findings-emnlp)
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| Challenge: | Existing active learning approaches focus on information-rich sequences, reducing the need for expert annotation. |
| Approach: | They propose a re-weighting-based active learning strategy that assigns dynamic weights to individual tokens. |
| Outcome: | The proposed strategy improves on multiple corpora and validates its effectiveness. |