2019 | OriginalPaper | Buchkapitel
Evolution of the PAN Lab on Digital Text Forensics
verfasst von : Paolo Rosso, Martin Potthast, Benno Stein, Efstathios Stamatatos, Francisco Rangel, Walter Daelemans
Erschienen in: Information Retrieval Evaluation in a Changing World
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
PAN is a networking initiative for digital text forensics, where researchers and practitioners study technologies for text analysis with regard to originality, authorship, and trustworthiness. The practical importance of such technologies is obvious for law enforcement, cyber-securityCyber-security , and marketing, yet the general public needs to be aware of their capabilities as well to make informed decisions about them. This is particularly true since almost all of these technologies are still in their infancy, and active research is required to push them forward. Hence PAN focuses on the evaluation of selected tasks from the digital text forensics in order to develop large-scale, standardized benchmarks, and to assess the state of the art. In this chapter we present the evolution of three shared tasks: plagiarism detection, author identification, and author profiling.