Erato: Automatizing Poetry Evaluation

Manex Agirrezabal, Hugo Gonçalo Oliveira, Aitor Ormazabal

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publicationProgress in Artificial Intelligence : 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II
EditorsNuno Noniz, Zita Vale, José Cascalho
Place of PublicationCham
PublisherSpringer
Publication date2023
Pages3-14
ISBN (Print)978-3-031-49010-1
ISBN (Electronic)978-3-031-49011-8
DOIs
Publication statusPublished - 2023
SeriesLecture Notes in Computer Science
ISSN0302-9743

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