Papers by Aitor García Pablos
Sensitive Data Detection and Classification in Spanish Clinical Text: Experiments with BERT (2020.lrec-1)
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| Challenge: | Massive digital data processing can endanger personal data privacy . anonymisation involves removing or replacing sensitive information from data . |
| Approach: | They propose to use a BERT-based sequence labelling model to conduct an experiment on clinical datasets in Spanish. |
| Outcome: | The proposed model outperforms existing models on clinical datasets in Spanish and shows that it is highly competitive with other models. |
Spanish Datasets for Sensitive Entity Detection in the Legal Domain (2022.lrec-1)
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| Challenge: | The de-identification of sensible data is essential for data sharing and reuse, both for research and commercial purposes. |
| Approach: | They propose to use four datasets annotated for named entity detection in Spanish to fine-tune models for the task of named entity-detection. |
| Outcome: | The proposed model is based on four datasets annotated for named entity detection in Spanish with an estimated error rate of 14%. |