Erato: Automatizing Poetry Evaluation

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.
OriginalsprogEngelsk
TitelProgress in Artificial Intelligence : 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II
RedaktørerNuno Noniz, Zita Vale, José Cascalho
UdgivelsesstedCham
ForlagSpringer
Publikationsdato2023
Sider3-14
ISBN (Trykt)978-3-031-49010-1
ISBN (Elektronisk)978-3-031-49011-8
DOI
StatusUdgivet - 2023
NavnLecture Notes in Computer Science
ISSN0302-9743

ID: 374969078