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pro vyhledávání: '"Patricio Martinez-Barco"'
Autor:
Beatriz Botella-Gil, Robiert Sepulveda-Torres, Alba Bonet-Jover, Patricio Martinez-Barco, Estela Saquete
Publikováno v:
IEEE Access, Vol 12, Pp 19651-19664 (2024)
Annotated corpora are indispensable tools to train computational models in Artificial Intelligence and Natural Language Processing. However, manual annotation is a costly, arduous, and time-consuming task, especially when the annotation is semantical
Externí odkaz:
https://doaj.org/article/2cbd2265da7a440cbc1f6d40a4a7e136
Publikováno v:
Latin-American Journal of Computing, Vol 3, Iss 1, Pp 35-42 (2016)
In this paper, we present a corpus composed of 85 scientific articles annotated with 2092 citations analyzed using context analysis. We obtained a high Inter-annotator agreement; therefore, we assure reliability and reproducibility of the annotation
Externí odkaz:
https://doaj.org/article/974366b84628414bb4de51dd0833e4b7