Authorship Attribution of Literary Texts Using Named Entity Masking and MaxLogit-Based Sequence Classification for Varying Text Lengths

Author:

Walkowiak TomaszORCID

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Bellet, A., Habrard, A., Sebban, M.: Metric learning, synthesis lectures on artificial intelligence and machine learning, vol. 9. Morgan & Claypool Publishers (USA), Synthesis Lectures on Artificial Intelligence and Machine Learning, pp. 1–151 (2015). https://doi.org/10.2200/S00626ED1V01Y201501AIM030, https://hal.archives-ouvertes.fr/hal-01121733

2. Calix, K., Connors, M., Levy, D., Manzar, H., McCabe, G., Westcott, S.: Stylometry for e-mail author identification and authentication (2008)

3. Can, M.: Authorship attribution using principal component analysis and competitive neural networks. Math. Comput. Appl. 19(1), 21–36 (2014)

4. Conneau, A., et al.: Unsupervised cross-lingual representation learning at scale. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 8440–8451 (2020). https://doi.org/10.18653/v1/2020.acl-main.747

5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

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