Evaluating Dutch Named Entity Recognition and De-identification Methods in the Human Resources Domain
The human resource (HR) domain contains various types of privacy-sensitive textual data, such as e-mail correspondence and performance appraisal. Doing research on these documents brings several challenges, one of them anonymisation. In this paper, we evaluate the current Dutch text de-identification methods for the HR domain in three steps. First, by updating one of these methods with the latest named entity recognition (NER) models. The result is that the NER model based on the CoNLL 2002 corpus in combination with the BERTje transformer give the best combination for suppressing persons (rec... Mehr ...
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Dokumenttyp: | Part of book |
Erscheinungsdatum: | 2020 |
Schlagwörter: | Named Entity Recognition / Dutch / NER / BERT / evaluation / de-identification / Taverne |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26681787 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dspace.library.uu.nl/handle/1874/414734 |