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README.md
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# Flair-abbr-roberta-pubmed-plos-filtered
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This is a stacked model of embeddings from [roberta-large](https://huggingface.co/FacebookAI/roberta-large), [HunFlair pubmed models](https://github.com/flairNLP/flair/blob/master/resources/docs/HUNFLAIR.md) and [character-level language models trained on PLOS](https://github.com/shenbinqian/PLODv2-CLM4AbbrDetection/tree/main/clm), fine-tuning on the [PLODv2 filtered dataset](https://github.com/shenbinqian/PLODv2-CLM4AbbrDetection).
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It achieves the following results on the test set:
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Results on abbreviations:
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- Precision: 0.8924
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# Flair-abbr-roberta-pubmed-plos-filtered
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This is a stacked model of embeddings from [roberta-large](https://huggingface.co/FacebookAI/roberta-large), [HunFlair pubmed models](https://github.com/flairNLP/flair/blob/master/resources/docs/HUNFLAIR.md) and [character-level language models trained on PLOS](https://github.com/shenbinqian/PLODv2-CLM4AbbrDetection/tree/main/clm), fine-tuning on the [PLODv2 filtered dataset](https://github.com/shenbinqian/PLODv2-CLM4AbbrDetection).
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It is released with our LREC-COLING 2024 publication (coming soon). It achieves the following results on the test set:
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Results on abbreviations:
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- Precision: 0.8924
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