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Cross-Domain Authorship Attribution Using Pre-trained Language Models
Authorship attribution attempts to identify the authors behind texts and has important applications mainly in cyber-security, digital humanities and social media analytics. An especially challenging but very realistic scenario is cross-domain attribution where texts of known authorship (training set...
Autores principales: | Barlas, Georgios, Stamatatos, Efstathios |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256385/ http://dx.doi.org/10.1007/978-3-030-49161-1_22 |
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