On the Problem of Automatically Aligning Indicators to SDGs
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Título
On the Problem of Automatically Aligning Indicators to SDGsFecha de publicación
2023-10-21Editor
Springer NatureCita bibliográfica
Soriano, M., Berlanga, R., Lanza-Cruz, I. (2023). On the Problem of Automatically Aligning Indicators to SDGs. In: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_26Tipo de documento
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Resumen
In this paper we present a first approach to the application of transformer-based language models to the automatic alignment to sustainable development goals (SDGs). This task is quite relevant for the development of ... [+]
In this paper we present a first approach to the application of transformer-based language models to the automatic alignment to sustainable development goals (SDGs). This task is quite relevant for the development of new tools that aim at measuring the engagement degree of the organization’s indicators to the SGDs. Our first experiments show that this task is hard, and that even powerful large language models do not achieve a high accuracy as in other NLP tasks. [-]
Descripción
Ponencia presentada en The Semantic Web: ESWC 2023 Satellite Events , Hersonissos, Crete, Greece, May 28 - June 1, 2023.
Publicado en
Lecture Notes in Computer Science ((LNCS,volume 13998))Entidad financiadora
Spanish Ministry of Science, Innovation and Universities | Generalitat Valenciana
Código del proyecto o subvención
PDC2021-121097 | INVEST/2022/308
Título del proyecto o subvención
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