no code implementations • NAACL (PrivateNLP) 2022 • Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
As the tide of Big Data continues to influence the landscape of Natural Language Processing (NLP), the utilization of modern NLP methods has grounded itself in this data, in order to tackle a variety of text-based tasks.
no code implementations • 17 Aug 2022 • Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
As such, the question of privacy in NLP has gained fervor in recent years, coinciding with the development of new Privacy-Enhancing Technologies (PETs).
