Update README.md

README.md

@@ -2,9 +2,27 @@
 language:
 - en
 pipeline_tag: token-classification
+license: apache-2.0
 ---
 
 Named Entity Recognition (NER) model to recognize cell component entities.
+
+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 datasets:
 - [CRAFT](https://github.com/UCDenver-ccp/CRAFT/tree/master/concept-annotation): entity type "GO-CC"
 - [MLEE](http://nactem.ac.uk/MLEE/): entity type "Cellular_component"