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--- |
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language: |
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- en |
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pipeline_tag: token-classification |
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--- |
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Named Entity Recognition (NER) model to recognize cell line entities. |
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Please cite our work: |
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``` |
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@article{NILNKER2022, |
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title = {NILINKER: Attention-based approach to NIL Entity Linking}, |
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journal = {Journal of Biomedical Informatics}, |
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volume = {132}, |
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pages = {104137}, |
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year = {2022}, |
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issn = {1532-0464}, |
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doi = {https://doi.org/10.1016/j.jbi.2022.104137}, |
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url = {https://www.sciencedirect.com/science/article/pii/S1532046422001526}, |
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author = {Pedro Ruas and Francisco M. Couto}, |
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} |
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``` |
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[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following datasets: |
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- [CellFinder](http://cellfinder.org/about/annotation/): entity type "CellLine" |
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- [JNLPBA](http://www.geniaproject.org/genia-corpus/term-corpus): entity type "cell_line" |
