Create README.md
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README.md
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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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# 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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```
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