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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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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ F1-Score: 0.79
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+
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+ Predicts 6 tags:
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+
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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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+
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+ Based on [Flair embeddings](https://aclanthology.org/C18-1139/)
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+
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+ # Citation
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+
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+ if you use this model, please consider citing this work:
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+
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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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+ ```