01464nas a2200217   4500008004100000020002200041245008700063210006900150260004400219520069400263100002000957700002100977700002500998700001801023700002001041700001801061700001701079700002301096700001501119856011201134       2019                        eng d  a978-3-030-30754-700aThe Epistle to Cangrande Through the Lens of Computational Authorship Verification0 aEpistle to Cangrande Through the Lens of Computational Authorshi  aChambSpringer International Publishing3 aThe 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.1 aCorbara, Silvia1 aMoreo, Alejandro1 aSebastiani, Fabrizio1 aTavoni, Mirko1 aCristani, Marco1 aPrati, Andrea1 aLanz, Oswald1 aMesselodi, Stefano1 aSebe, Nicu  uhttps://datasciencephd.eu/publications/epistle-cangrande-through-lens-computational-authorship-verification