A machine learning approach to literary genre classification on Portuguese texts: circumventing NLP’s standard varieties

Dioneia Monte-Serrat, Mateus Machado, Evandro Ruiz


Anthology ID:
2021.stil-1.28
Volume:
Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology
Month:
November
Year:
2021
Address:
Porto Alegre, Brazil
Editors:
Evandro Eduardo Seron Ruiz, Tiago Timponi Torrent
Venues:
STIL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
255–264
Language:
URL:
https://aclanthology.org/2021.stil-1.28/
DOI:
Bibkey:
Cite (ACL):
Dioneia Monte-Serrat, Mateus Machado, and Evandro Ruiz. 2021. A machine learning approach to literary genre classification on Portuguese texts: circumventing NLP’s standard varieties. In Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology, pages 255–264, Porto Alegre, Brazil. Association for Computational Linguistics.
Cite (Informal):
A machine learning approach to literary genre classification on Portuguese texts: circumventing NLP’s standard varieties (Monte-Serrat et al., STIL 2021)
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PDF:
https://aclanthology.org/2021.stil-1.28.pdf