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For sensitive text data to be shared among NLP researchers and practitioners, shared documents need to comply with data protection and privacy laws.
Anonymisation: managing data protection risk code of practice
Information Commissioner’s Office. 2012 · 2012
Earlier work this paper cites.
Authorship attribution for forensic investigation with thousands of authors
Min Yang and Kam-Pui Chow. 2014 · 2014
Earlier work this paper cites.
Automated anonymization of text documents
N. Mamede, J. Baptista, and F. Dias. 2016 · 2016
Earlier work this paper cites.
Web-based text anonymization with node. js: Introducing netanos (named entity-based text anonymization for open science)
Bennett Kleinberg and Maximilian Mozes. 2017 · 2017
Earlier work this paper cites.
From analytics to artificial intelligence
Thomas H Davenport. 2018 · 2018
Earlier work this paper cites.
Towards personal data identification and anonymization using machine learning techniques
Francesco Di Cerbo and Slim Trabelsi. 2018 · 2018
Cited alongside, same era.
Anonymization of unstructured data via named-entity recognition
Fadi Hassan, Josep Domingo-Ferrer, and Jordi Soria-Comas. 2018 · 2018
Cited alongside, same era.
AnonyMate: A toolkit for anonymizing unstructured chat data
Allison Adams, Eric Aili, Daniel Aioanei, Rebecca Jonsson, Lina Mickelsson, Dagmar Mikmekova, Fred Roberts, Javier Fernandez Valencia, and Roger Wechsler. 2019 · 2019
Cited alongside, same era.
Pharmaconer tagger: a deep learning-based tool for automatically finding chemicals and drugs in spanish medical texts
Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, and Martin Krallinger. 2019 · 2019
Cited alongside, same era.
Augmenting a de-identification system for Swedish clinical text using open resources and deep learning
Hanna Berg and Hercules Dalianis. 2019 · 2019
Later among the works it cites.
Privacy-and utility-preserving textual analysis via calibrated multivariate perturbations
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, and Tom Diethe. 2020 · 2020
Later among the works it cites.
Anonymization for the gdpr in the context of citizen and customer relationship management and nlp
Gil Francopoulo and Léon-Paul Schaub. 2020 · 2020
Later among the works it cites.
Qualanon-a tool for anonymizing interview data
Wienke Strathern, Moritz Issig, and Jürgen Pfeffer. 2020 · 2020
Later among the works it cites.
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