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GPT3 as a Lexical Knowledge Base for Portuguese?

dc.contributor.authorOliveira, Hugo Gonçalo
dc.contributor.authorRodrigues, Ricardo
dc.date.accessioned2026-02-12T16:44:15Z
dc.date.available2026-02-12T16:44:15Z
dc.date.issued2023
dc.description.abstractWe test the GPT3 language model in zero- and few-shot acquisition of lexico-semantic knowledge in Portuguese, with simple instruction prompts, and compare it with a BERT-based approach. Results are assessed in two test sets: TALES and the Portuguese translation of BATS. GPT3 outperforms BERT in all relations, with the few-shot approach being the best overall and for the majority of relations. Scores in both datasets further suggest that, despite their different creation approaches, they are equally suitable for this kind of evaluation.eng
dc.identifier.urihttp://hdl.handle.net/10400.26/61694
dc.language.isoeng
dc.peerreviewedn/a
dc.relationC645008882-00000055
dc.relation.hasversionhttps://aclanthology.org/2023.ldk-1.37/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleGPT3 as a Lexical Knowledge Base for Portuguese?eng
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferenceDate2023
oaire.citation.conferencePlaceVienna, Austria
oaire.citation.endPage363
oaire.citation.startPage358
oaire.citation.titleProceedings of the 4th Conference on Language, Data and Knowledge
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRodrigues
person.givenNameRicardo
person.identifier.ciencia-idD31C-FB4A-FEAA
person.identifier.orcid0000-0002-6262-7920
relation.isAuthorOfPublicationc64ccf7c-eca2-43cf-a4a2-78e684499c00
relation.isAuthorOfPublication.latestForDiscoveryc64ccf7c-eca2-43cf-a4a2-78e684499c00

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