Logo do repositório
 
Publicação

Lexicalized meaning representation (LMR)

2024-05-21Documento de conferência Acesso aberto
Ver registo simples
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorBaptista, Jorge
dc.contributor.authorReis, Sónia
dc.contributor.authorDias, João
dc.contributor.authorSantos, Pedro A.
dc.date.accessioned2026-05-16T11:24:46Z
dc.date.available2026-05-16T11:24:46Z
dc.date.issued2024-05-21
dc.description.abstractThis paper presents an adaptation of the Abstract Meaning Representation (AMR) framework for European Portuguese. This adaptation, referred to as Lexicalized Meaning Representation (LMR), was deemed necessary to address specific challenges posed by the grammar of the language, as well as various linguistic issues raised by the current version of AMR annotation guidelines. Some of these aspects stemmed from the use of a notation similar to AMR to represent real texts from the legal domain, enabling its use in Natural Language Processing (NLP) applications. In this context, several aspects of AMR were significantly simplified (e.g., the representation of multi-word expressions, named entities, and temporal expressions), while others were introduced, with efforts made to maintain the representation scheme as compatible as possible with standard AMR notation.eng
dc.identifier.urihttp://hdl.handle.net/10400.1/28992
dc.language.isoeng
dc.peerreviewedyes
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectLexicalized meaning representation (LMR)
dc.subjectAbstract meaning representation (AMR)
dc.subjectNatural language processing (NLP)
dc.subjectPortuguese
dc.titleLexicalized meaning representation (LMR)eng
dc.typeconference object
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.endPage111
oaire.citation.startPage101
oaire.citation.title5th Workshop on Designing Meaning Representations
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBaptista
person.familyNameReis
person.familyNameDias
person.givenNameJorge
person.givenNameSónia
person.givenNameJoão
person.identifier.ciencia-id7010-5366-22C5
person.identifier.ciencia-idD716-7EE3-DB21
person.identifier.ciencia-id541C-36A9-F1A0
person.identifier.orcid0000-0003-4603-4364
person.identifier.orcid0000-0001-7709-6889
person.identifier.orcid0000-0002-1653-1821
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.isAuthorOfPublicatione56e772a-df06-440c-9c0f-a780a86cd2a0
relation.isAuthorOfPublication66c729e3-99f2-4ddc-8da4-7c66e590800b
relation.isAuthorOfPublication.latestForDiscoverye817fa28-a005-40e2-9ba4-03fdaedd7df3
relation.isProjectOfPublication0b14d63a-8f78-4e31-8a86-b72e1f07871f
relation.isProjectOfPublication.latestForDiscovery0b14d63a-8f78-4e31-8a86-b72e1f07871f

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
2024.dmr-1.11.pdf
Tamanho:
790.89 KB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
3.46 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

FCH2-Artigos (em revistas ou actas indexadas)