Erato: Automatizing Poetry Evaluation

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

Standard

Erato: Automatizing Poetry Evaluation. / Agirrezabal, Manex; Gonçalo Oliveira, Hugo; Ormazabal, Aitor.

Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II. ed. / Nuno Noniz; Zita Vale; José Cascalho. Cham : Springer, 2023. p. 3-14 (Lecture Notes in Computer Science).

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

Harvard

Agirrezabal, M, Gonçalo Oliveira, H & Ormazabal, A 2023, Erato: Automatizing Poetry Evaluation. in N Noniz, Z Vale & J Cascalho (eds), Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II. Springer, Cham, Lecture Notes in Computer Science, pp. 3-14. https://doi.org/10.1007/978-3-031-49011-8_1

APA

Agirrezabal, M., Gonçalo Oliveira, H., & Ormazabal, A. (2023). Erato: Automatizing Poetry Evaluation. In N. Noniz, Z. Vale, & J. Cascalho (Eds.), Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II (pp. 3-14). Springer. Lecture Notes in Computer Science https://doi.org/10.1007/978-3-031-49011-8_1

Vancouver

Agirrezabal M, Gonçalo Oliveira H, Ormazabal A. Erato: Automatizing Poetry Evaluation. In Noniz N, Vale Z, Cascalho J, editors, Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II. Cham: Springer. 2023. p. 3-14. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-031-49011-8_1

Author

Agirrezabal, Manex ; Gonçalo Oliveira, Hugo ; Ormazabal, Aitor. / Erato: Automatizing Poetry Evaluation. Progress in Artificial Intelligence: 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5–8, 2023, Proceedings, Part II. editor / Nuno Noniz ; Zita Vale ; José Cascalho. Cham : Springer, 2023. pp. 3-14 (Lecture Notes in Computer Science).

Bibtex

@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",

}

RIS

TY - GEN

T1 - Erato: Automatizing Poetry Evaluation

AU - Agirrezabal, Manex

AU - Gonçalo Oliveira, Hugo

AU - Ormazabal, Aitor

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-031-49011-8_1

DO - 10.1007/978-3-031-49011-8_1

M3 - Article in proceedings

SN - 978-3-031-49010-1

T3 - Lecture Notes in Computer Science

SP - 3

EP - 14

BT - Progress in Artificial Intelligence

A2 - Noniz, Nuno

A2 - Vale, Zita

A2 - Cascalho, José

PB - Springer

CY - Cham

ER -

ID: 374969078