Erato: Automatizing Poetry Evaluation
Agirrezabal, Manex, Oliveira, Hugo Gonçalo, Ormazabal, Aitor
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-31-2023
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