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license: cc-by-sa-4.0 |
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# Flair-abbr-pubmed-filtered |
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This model is a fine-tuned version of [HunFlair pubmed models](https://github.com/flairNLP/flair/blob/master/resources/docs/HUNFLAIR.md) on the [PLODv2 filtered dataset](https://github.com/shenbinqian/PLODv2-CLM4AbbrDetection). |
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It is released with our LREC-COLING 2024 publication [Using character-level models for efficient abbreviation and long-form detection](https://aclanthology.org/2024.lrec-main.270/). It achieves the following results on the test set: |
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Results on abbreviations: |
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- Precision: 0.8467 |
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- Recall: 0.9226 |
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- F1: 0.8830 |
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Results on long forms: |
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- Precision: 0.8185 |
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- Recall: 0.8887 |
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- F1: 0.8522 |
