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Semantic representation of adverbs in the lexicalized meaning representation (LMR) framework

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datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorBaptista, Jorge
dc.contributor.authorMeira Grein Muller, Izabela
dc.contributor.authorReis, Sónia
dc.date.accessioned2026-04-08T08:49:14Z
dc.date.available2026-04-08T08:49:14Z
dc.date.issued2025
dc.description.abstractSemantic parsing serves as a crucial interface between natural language and formal meaning representations, enabling computational systems to capture the underlying semantic structure of linguistic expressions. This paper addresses a relatively understudied area in both linguistic theory and natural language processing: the semantic representation of adverbs. We conduct a comparative analysis of annotation guidelines and practices across two semantic representation frameworks: Lexicalized Meaning Representation (LMR), applied to the European Portuguese edition of the novella “O Principezinho” by Antoine de Saint-Exupéry (1943); and Abstract Meaning Representation (AMR), applied to the Brazilian Portuguese edition, “O Pequeno Príncipe”. The study reveals significant limitations in AMR’s handling of adverbial constructions, particularly when assessed against contemporary syntactic-semantic advances in linguistic theory. Furthermore, it highlights the theoretical and practical challenges that LMR continues to face in this domain.eng
dc.identifier.doi10.4230/OASIcs.SLATE.2025.9
dc.identifier.urihttp://hdl.handle.net/10400.1/28610
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSchloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAbstract meaning representation (AMR)
dc.subjectAdverbs
dc.subjectAnnotation guidelines
dc.subjectBrazilian Portuguese
dc.subjectComparative analysis
dc.subjectCorpus linguistics
dc.subjectEuropean portuguese
dc.subjectLexicalized meaning representation (LMR)
dc.subjectLinguistic theory
dc.subjectMulti-word expressions
dc.subjectNatural language processing (NLP)
dc.subjectSemantic representation
dc.subjectSyntactic-semantic interface
dc.subjectThe little prince
dc.titleSemantic representation of adverbs in the lexicalized meaning representation (LMR) frameworkeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/50021/2020
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.citation.endPage18
oaire.citation.startPage9
oaire.citation.title14th Symposium on Languages, Applications and Technologies (SLATE 2025)
oaire.citation.volume135
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBaptista
person.familyNameMeira Grein Muller
person.familyNameReis
person.givenNameJorge
person.givenNameIzabela
person.givenNameSónia
person.identifier.ciencia-id7010-5366-22C5
person.identifier.ciencia-idD716-7EE3-DB21
person.identifier.orcid0000-0003-4603-4364
person.identifier.orcid0000-0002-1826-3787
person.identifier.orcid0000-0001-7709-6889
person.identifier.ridH-7699-2013
person.identifier.scopus-author-id14035269500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicatione817fa28-a005-40e2-9ba4-03fdaedd7df3
relation.isAuthorOfPublication4bace0e3-0ae2-4ef3-83a7-9e0780b9a0a9
relation.isAuthorOfPublicatione56e772a-df06-440c-9c0f-a780a86cd2a0
relation.isAuthorOfPublication.latestForDiscoverye817fa28-a005-40e2-9ba4-03fdaedd7df3
relation.isProjectOfPublication0b14d63a-8f78-4e31-8a86-b72e1f07871f
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