@inproceedings{8315b18133a640749cff39c7669c732c,
title = "Erato: Automatizing Poetry Evaluation",
abstract = "We present Erato, a framework designed to facilitate the automated evaluation of poetry, including that generated by poetry generation systems. Our framework employs a diverse set of features, and we offer a brief overview of Erato's capabilities and its potential for expansion. Using Erato, we compare and contrast human-authored poetry with automatically-generated poetry, demonstrating its effectiveness in identifying key differences. Our implementation code and software are freely available under the GNU GPLv3 license. ",
author = "Manex Agirrezabal and {Gon{\c c}alo Oliveira}, Hugo and Aitor Ormazabal",
year = "2023",
doi = "10.1007/978-3-031-49011-8_1",
language = "English",
isbn = "978-3-031-49010-1",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "3--14",
editor = "Nuno Noniz and Zita Vale and Jos{\'e} Cascalho",
booktitle = "Progress in Artificial Intelligence",
address = "Switzerland",
}