Erato: Automatizing Poetry Evaluation
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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 language | English |
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Title of host publication | Progress in Artificial Intelligence : 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II |
Editors | Nuno Noniz, Zita Vale, José Cascalho |
Place of Publication | Cham |
Publisher | Springer |
Publication date | 2023 |
Pages | 3-14 |
ISBN (Print) | 978-3-031-49010-1 |
ISBN (Electronic) | 978-3-031-49011-8 |
DOIs | |
Publication status | Published - 2023 |
Series | Lecture Notes in Computer Science |
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ISSN | 0302-9743 |
ID: 374969078