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--- |
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language: |
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- en |
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library_name: flair |
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pipeline_tag: token-classification |
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--- |
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# English NER model for extraction of named entities from scientific acknowledgement texts using Flair Embeddings |
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<!-- Provide a quick summary of what the model is/does. --> |
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F1-Score: 0.79 |
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Predicts 6 tags: |
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|label|description|precision|recall|f1-score|support| |
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|:----|:----|:----|:----|:----|:----| |
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|GRNB|grant number|0,93|0,98|0,96|160| |
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|IND|person|0,98|0,98|0,98|295| |
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|FUND|funding organization|0,70|0,83|0,76|157| |
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|UNI|university|0,77|0,74|0,75|99| |
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|MISC|miscellaneous|0,65|0,65|0,65|82| |
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|COR|corporation|0,75|0,50|0,60|12| |
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Based on [Flair embeddings](https://aclanthology.org/C18-1139/) |
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# Usage |
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[See our Google colab notebook](https://colab.research.google.com/drive/1Wz4ae5c65VDWanY3Vo-fj__bFjn-loL4?usp=sharing#scrollTo=2ZRSrcjuFMHO) |
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# Citation |
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if you use this model, please consider citing this work: |
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``` |
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@misc{smirnova2023embedding, |
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title={Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements}, |
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author={Nina Smirnova and Philipp Mayr}, |
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year={2023}, |
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eprint={2307.13377}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.DL} |
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} |
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``` |
