Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization

Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization Oleksandr Yermilov author Vipul Raheja author Artem Chernodub author 2023-07 text Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) Anaelia Ovalle editor Kai-Wei Chang editor Ninareh Mehrabi editor Yada Pruksachatkun editor Aram Galystan editor Jwala Dhamala editor Apurv Verma editor Trista Cao editor Anoop Kumar editor Rahul Gupta editor Association for Computational Linguistics Toronto, Canada conference publication yermilov-etal-2023-privacy 10.18653/v1/2023.trustnlp-1.20 https://aclanthology.org/2023.trustnlp-1.20/ 2023-07 232 241