Authorship Verification using pre-trained Language Models

Author namePanagiotis Petropoulos
Title
Authorship Verification using pre-trained Language Models
Year2022-2023
Supervisor

Efstathios Stamatatos

Efstathios Stamatatos

Summary

In our everyday life, no one can dispute the necessity of artificial intelligence applications. These applications cover the largest to the smallest needs of modern humans. Knowledge, curiosity, security, and recognition are some of the basic human needs that people seek to satisfy through the internet. Social networking pages, chat, and blogs provide information and communication. There are also many incidents where we cannot verify the authenticity of a text as to its author. Authors who have left their mark in world literature can be easily recognizable. The difficult part is identifying the writer in the chaos of the worldwide web, and also for documents where the opinions of linguists and scientists diverge. It is easy to recognize texts from ancient or classical literature, but it is difficult to recognize in real-time the characteristics of an anonymous or forged writer. As the internet expands, the production of written language multiplies, and the field of artificial intelligence and an Author Verification system become increasingly necessary. It is no coincidence that many private or public enterprises and university units have integrated this field into their services.