AnonyMate: A Toolkit for Anonymizing Unstructured Chat Data
Allison Adams, Eric Aili, Daniel Aioanei, Rebecca Jonsson, Lina Mickelsson, Dagmar Mikmekova, Fred. T. Roberts, Javier Fernandez Valencia, Roger Wechsler · DSpace repository (University of Tartu) · 2019
Most existing research on the automatic anonymization of text data has been limited to the de-identification of medical records.This is beginning to change following the passage of GDPR privacy laws, which have made the task of automatic text anonymization more relevant than ever.We present our privacy protection toolkit, AnonyMate, which is built to anonymize both personal identifying information (PII) as well as corporate identifying information (CII) in humancomputer dialogue text data.