De-identification

De-identification is an important task in natural language processing, aimed at detecting and removing personal privacy-related information entities from text, such as names, emails, and contact details. The goal of this task is to protect individual privacy, prevent the leakage of sensitive information, ensure that data sharing and analysis comply with legal and regulatory requirements, and enhance data security and credibility.