The Epistle to Cangrande Through the Lens of Computational Authorship Verification
| Autor: | Fabrizio Sebastiani, Alejandro Moreo, Mirko Tavoni, Silvia Corbara |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
060201 languages & linguistics
Authorship Verification History Training set 05 social sciences 02 engineering and technology Authorship verification Linguistics Through-the-lens metering Set (abstract data type) Philology Medieval Latin 0602 languages and literature Machine learning 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Dante Alighieri Classifier (UML) Digital humanities |
| Zdroj: | International Conference on Image Analysis and Processing, pp. 148–158, Trento, Italia, 9-13 settembre, 2019 info:cnr-pdr/source/autori:Corbara S.; Moreo A.; Sebastiani F.; Tavoni M./congresso_nome:International Conference on Image Analysis and Processing/congresso_luogo:Trento, Italia/congresso_data:9-13 settembre, 2019/anno:2019/pagina_da:148/pagina_a:158/intervallo_pagine:148–158 New Trends in Image Analysis and Processing – ICIAP 2019 ISBN: 9783030307530 ICIAP Workshops |
| Popis: | The Epistle to Cangrande is one of the most controversial among the works of Italian poet Dante Alighieri. For more than a hundred years now, scholars have been debating over its real paternity, i.e., whether it should be considered a true work by Dante or a forgery by an unnamed author. In this work we address this philological problem through the methodologies of (supervised) Computational Authorship Verification, by training a classifier that predicts whether a given work is by Dante Alighieri or not. We discuss the system we have set up for this endeavour, the training set we have assembled, the experimental results we have obtained, and some issues that this work leaves open. |
| Databáze: | OpenAIRE |
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