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On the Problem of Automatically Aligning Indicators to SDGs
| dc.contributor.author | Soriano, Mario | |
| dc.contributor.author | Berlanga Llavori, Rafael | |
| dc.contributor.author | Lanza Cruz, Indira Lázara | |
| dc.date.accessioned | 2024-05-15T07:41:35Z | |
| dc.date.available | 2024-05-15T07:41:35Z | |
| dc.date.issued | 2023-10-21 | |
| dc.identifier.citation | 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_26 | ca_CA |
| dc.identifier.uri | http://hdl.handle.net/10234/207341 | |
| dc.description | Ponencia presentada en The Semantic Web: ESWC 2023 Satellite Events , Hersonissos, Crete, Greece, May 28 - June 1, 2023. | ca_CA |
| dc.description.abstract | 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. | ca_CA |
| dc.format.extent | 4 p. | ca_CA |
| dc.format.mimetype | application/pdf | ca_CA |
| dc.language.iso | eng | ca_CA |
| dc.publisher | Springer Nature | ca_CA |
| dc.relation | INVESTIGO | ca_CA |
| dc.relation.isPartOf | Lecture Notes in Computer Science ((LNCS,volume 13998)) | ca_CA |
| dc.rights | © 2024 Springer Nature | ca_CA |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | ca_CA |
| dc.subject | transformers | ca_CA |
| dc.subject | indicators | ca_CA |
| dc.subject | knowledge graphs | ca_CA |
| dc.title | On the Problem of Automatically Aligning Indicators to SDGs | ca_CA |
| dc.type | info:eu-repo/semantics/conferenceObject | ca_CA |
| dc.identifier.doi | https://doi.org/10.1007/978-3-031-43458-7_26 | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
| dc.type.version | info:eu-repo/semantics/submittedVersion | ca_CA |
| project.funder.name | Spanish Ministry of Science, Innovation and Universities | ca_CA |
| project.funder.name | Generalitat Valenciana | ca_CA |
| oaire.awardNumber | PDC2021-121097 | ca_CA |
| oaire.awardNumber | INVEST/2022/308 | ca_CA |
