Datasets and Models for Authorship Attribution on Italian Personal Writings
Computation and Language
2020-11-17 v1
Abstract
Existing research on Authorship Attribution (AA) focuses on texts for which a lot of data is available (e.g novels), mainly in English. We approach AA via Authorship Verification on short Italian texts in two novel datasets, and analyze the interaction between genre, topic, gender and length. Results show that AV is feasible even with little data, but more evidence helps. Gender and topic can be indicative clues, and if not controlled for, they might overtake more specific aspects of personal style.
Cite
@article{arxiv.2011.07975,
title = {Datasets and Models for Authorship Attribution on Italian Personal Writings},
author = {Gaetana Ruggiero and Albert Gatt and Malvina Nissim},
journal= {arXiv preprint arXiv:2011.07975},
year = {2020}
}
Comments
Accepted for publication in: 7th Italian Conference on Computational Linguistics (CLIC-IT 2020)