A transfer learning approach to cross-domain authorship attribution

Author:

Barlas GeorgiosORCID,Stamatatos Efstathios

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference54 articles.

1. Bagnall D (2015) Author identification using multi-headed recurrent neural networks. In: Working Notes of CLEF 2015—Conference and Labs of the Evaluation forum

2. Bagnall D (2016) Authorship clustering using multi-headed recurrent neural networks. arXiv preprint arXiv:1608.04485

3. Barlas G, Stamatatos E (2020) Cross-domain authorship attribution using pre-trained language models. In: Maglogiannis I, Iliadis L, Pimenidis E (eds) Artificial Intelligence Applications and Innovations. Springer International Publishing, New York, pp 255–266

4. Bird S, Klein E, Loper E (2009) Natural language processing with Python: analyzing text with the natural language toolkit. O’Reilly Media Inc, Newton

5. Bogdanova D, Lazaridou A (2014) Cross-language authorship attribution. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC). European Language Resources Association (ELRA), pp. 2015–2020

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