|
--- |
|
language: |
|
- en |
|
pipeline_tag: token-classification |
|
license: apache-2.0 |
|
--- |
|
|
|
Named Entity Recognition (NER) model to recognize biological process entities (as defined by Gene Ontology-Biological Process sub-ontology). |
|
|
|
Please cite our work: |
|
|
|
``` |
|
@article{NILNKER2022, |
|
title = {NILINKER: Attention-based approach to NIL Entity Linking}, |
|
journal = {Journal of Biomedical Informatics}, |
|
volume = {132}, |
|
pages = {104137}, |
|
year = {2022}, |
|
issn = {1532-0464}, |
|
doi = {https://doi.org/10.1016/j.jbi.2022.104137}, |
|
url = {https://www.sciencedirect.com/science/article/pii/S1532046422001526}, |
|
author = {Pedro Ruas and Francisco M. Couto}, |
|
} |
|
``` |
|
|
|
[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following dataset: |
|
- [CRAFT](https://github.com/UCDenver-ccp/CRAFT/tree/master/concept-annotation): entity type "GO-BP" |
