Update README.md

README.md

@@ -1,3 +1,35 @@
----
-license: cc-by-nc-4.0
----
+---
+license: cc-by-nc-4.0
+language:
+- es
+tags:
+- simplification
+- NER
+---
+
+This is a model for **complex word identification (CWI)** of Spanish medical texts, based on the 
+[Medical mT5 large model](https://huggingface.co/HiTZ/Medical-mT5-large). 
+
+The model was fine-tuned on a corpus of 225 texts for patients (162575 tokens) to identify **complex words** (**CW**).
+
+**Results (test set)**
+
+| Class |   Precision   |     Recall    |       F1      |    Accuracy   |
+|:-----:|:-------------:|:-------------:|:-------------:|:-------------:|
+|  CW   | 74.94 (±1.16) | 82.07 (±0.40) | 78.34 (±0.77) | 94.72 (±0.13) |
+
+*Results are the average of 3 experimental rounds.
+
+If you use this model or want to have more details about the experiments and the training details, take a look at our article:
+
+```
+@article{2025CWI,
+  title={Complex Word Identification for Lexical Simplification in Spanish Texts for Patients},
+  author={Ortega-Riba, Federico and Campillos-Llanos, Leonardo and Samy, Doaa},
+  journal={Procesamiento del lenguaje natural},
+  volume={74},
+  year={2025}
+}
+```
+
+