Papers with shared language models pre-

1 papers
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.

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