Exploring Supervised Techniques for Automated Recognition of Intention Classes from Portuguese Free Texts on Agriculture

Autor: Daniel Felix Brito, Jarbas Lopes Cardoso Júnior, Júlio Cesar Dos Reis, Guilherme Ruppert, Rodrigo Bonacin Bonacin

Publikováno v: Revista de Informática Teórica e Aplicada; Vol. 29 No. 2 (2022); 95-120
Revista de Informática Teórica e Aplicada; v. 29 n. 2 (2022); 95-120

Technical and scientific knowledge is vast and complex, particularly in interdisciplinary fields such as sustainable agriculture, which is available in several interrelated, geographically dispersed and interdisciplinary online textual information so

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef633f1022a5c60d2cfd29ffe9ab0454
https://seer.ufrgs.br/index.php/rita/article/view/117481