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CVTool: automating content variants of cvs

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorGonçalves, Julio Beites
dc.contributor.authorPereira, Maria João
dc.contributor.authorHenriques, Pedro Rangel
dc.date.accessioned2026-03-18T15:09:20Z
dc.date.available2026-03-18T15:09:20Z
dc.date.issued2025
dc.description.abstractAs academic professionals, we frequently need to create different versions of our CVs for project applications, career evaluations, or competitions. These versions may be chronologically structured or skill-oriented, covering specific periods and written in various languages. Even when using a LaTeX document as a base, numerous modifications are required each time an updated CV version is requested for a specific purpose. The primary objective of the project reported in this paper is to design and implement a web-based system (CVTool) that simplifies the management of LaTeX CV content while ensuring flexibility. The CVTool is built on a domain-specific language that enables the creation of various filters, allowing for the automatic content adjustment while preserving the original format. Information is extracted from the LaTeX document, and users can specify the sections, dates, skills they want to highlight, and the language in which the CV should be generated. Since the approach relies on an internal data representation derived from the original LaTeX document, it offers users the flexibility to manage content efficiently and extract the necessary information with ease.eng
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. Maria João Varanda Pereira: The work of Maria João was supported by national funds through UID/05757 – Research Centre in Digitalization and Intelligent Robotics (CeDRI); and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020).
dc.identifier.citationGonçalves, Julio Beites; Pereira, Maria João; Henriques, Pedro Rangel (2025). CVTool: Automating Content Variants of CVs. In 14th Symposium on Languages, Applications and Technologies, SLATE 2025. 135:5, p. 1-14. ISBN 978-395977387-4. DOI: 10.4230/2025.5
dc.identifier.doi10.4230/2025.5
dc.identifier.isbn978-395977387-4
dc.identifier.issn2190-6807
dc.identifier.urihttp://hdl.handle.net/10198/36136
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSchloss Dagstuhl - Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
dc.relationALGORITMI Research Center
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectLatex CV
dc.subjectCV versioning
dc.subjectDSL
dc.subjectCV parsing
dc.subjectCV Templates
dc.titleCVTool: automating content variants of cvseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/00319/2020
oaire.awardNumberUIDP/05757/2020
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleALGORITMI Research Center
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage14
oaire.citation.issue5
oaire.citation.startPage1
oaire.citation.title14th Symposium on Languages, Applications and Technologies, SLATE 2025
oaire.citation.volume135
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePereira
person.givenNameMaria João
person.identifier.ciencia-idC912-4A49-A3B3
person.identifier.orcid0000-0001-6323-0071
person.identifier.ridG-5999-2011
person.identifier.scopus-author-id13907870300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationa20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2
relation.isAuthorOfPublication.latestForDiscoverya20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2
relation.isProjectOfPublication0d98f999-8fd3-46a8-8a71-a7ff478a1207
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