CLARA-MeD/bert-base-spanish-wwm-cased-cwi

This is a model for complex word identification (CWI) of Spanish medical texts, based on the BETO Spanish BERT model.

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	75.01 (±1.11)	82.98 (±0.60)	78.78 (±0.34)	93.49 (±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}
}