Spanish Datasets for Sensitive Entity Detection in the Legal Domain

Ona de Gibert Bonet, Aitor García Pablos, Montse Cuadros, Maite Melero


Abstract
The de-identification of sensible data, also known as automatic textual anonymisation, is essential for data sharing and reuse, both for research and commercial purposes. The first step for data anonymisation is the detection of sensible entities. In this work, we present four new datasets for named entity detection in Spanish in the legal domain. These datasets have been generated in the framework of the MAPA project, three smaller datasets have been manually annotated and one large dataset has been automatically annotated, with an estimated error rate of around 14%. In order to assess the quality of the generated datasets, we have used them to fine-tune a battery of entity-detection models, using as foundation different pre-trained language models: one multilingual, two general-domain monolingual and one in-domain monolingual. We compare the results obtained, which validate the datasets as a valuable resource to fine-tune models for the task of named entity detection. We further explore the proposed methodology by applying it to a real use case scenario.
Anthology ID:
2022.lrec-1.400
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3751–3760
Language:
URL:
https://aclanthology.org/2022.lrec-1.400
DOI:
Bibkey:
Cite (ACL):
Ona de Gibert Bonet, Aitor García Pablos, Montse Cuadros, and Maite Melero. 2022. Spanish Datasets for Sensitive Entity Detection in the Legal Domain. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3751–3760, Marseille, France. European Language Resources Association.
Cite (Informal):
Spanish Datasets for Sensitive Entity Detection in the Legal Domain (de Gibert Bonet et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.400.pdf