Update README.md

README.md

@@ -47,4 +47,21 @@ Users can utilize our pre-trained model in several ways:
   from transformers import AutoModel, AutoTokenizer
 
   model = AutoModel.from_pretrained("ICB-UMA/ClinLinker-KB-GP")
-  tokenizer = AutoTokenizer.from_pretrained("ICB-UMA/ClinLinker-KB-GP")
+  tokenizer = AutoTokenizer.from_pretrained("ICB-UMA/ClinLinker-KB-GP")
+
+
+## Limitations
+- **Language Restriction:** ClinLinker-KB-GP is currently optimized for Spanish clinical corpora.
+- **Expert Supervision:** While the model shows high accuracy in entity linking tasks, it is designed to assist semi-automated systems, requiring expert supervision for final validation.
+
+## Citation
+If you use ClinLinker-KB-GP in your research, please cite the following:
+bibtex
+@misc{gallego2024clinlinker,
+      title={ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish}, 
+      author={Fernando Gallego and Guillermo López-García and Luis Gasco-Sánchez and Martin Krallinger and Francisco J. Veredas},
+      year={2024},
+      eprint={2404.06367},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}