Update README.md

README.md

@@ -2,9 +2,26 @@
 language:
 - en
 pipeline_tag: token-classification
+license: apache-2.0
 ---
 
-Named Entity Recognition (NER) model to recognize organism entities. 
+Named Entity Recognition (NER) model to recognize organism 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:
 - [CellFinder](http://cellfinder.org/about/annotation/): entity type "species"
@@ -15,4 +32,4 @@ Named Entity Recognition (NER) model to recognize organism entities.
 - [BioNLP11ID](https://github.com/cambridgeltl/MTL-Bioinformatics-2016/tree/master/data/BioNLP11ID-species-IOB): entity type "Organism"
 - [BioNLP13CG](https://github.com/cambridgeltl/MTL-Bioinformatics-2016/tree/master/data/BioNLP13CG-species-IOB): entity types "Organism", "Organism subdivision"
 - [miRNA-Test-Corpus](https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/download-mirna-test-corpus.html): entity type "species"
-- [Mantra](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986661/pdf/ocv037.pdf):entity type "DISO"
+- [Mantra](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4986661/pdf/ocv037.pdf):entity type "DISO"