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surrey-nlp/flair-abbr-roberta-pubmed-plos-filtered
flair-abbr-roberta-pubmed-plos-filtered is a machine learning model from surrey-nlp. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-sa-4.0.
This is a stacked model of embeddings from roberta-large, HunFlair pubmed models and character-level language models trained on PLOS, fine-tuning on the PLODv2 filtered dataset.
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Updated May 28, 2024
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From the Hugging Face model README
This is a stacked model of embeddings from roberta-large, HunFlair pubmed models and character-level language models trained on PLOS, fine-tuning on the PLODv2 filtered dataset. It is released with our LREC-COLING 2024 publication Using character-level models for efficient abbreviation and long-form detection. It achieves the following results on the test set:
Results on abbreviations:
Results on long forms: