pytorch license:cc-by-sa-4.0 region:us
---
license: cc-by-sa-4.0
---
# Flair-abbr-pubmed-unfiltered

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 unfiltered dataset](https://github.com/shenbinqian/PLODv2-CLM4AbbrDetection).
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:

Results on abbreviations:
- Precision: 0.8502
- Recall: 0.9155
- F1: 0.8816


Results on long forms:
- Precision: 0.8270
- Recall: 0.8864
- F1: 0.8557