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dc.contributor.authorSalgado, Ana
dc.contributor.authorAhmadi, Sina
dc.contributor.authorSimões, Alberto
dc.contributor.authorMcCrae, John P.
dc.contributor.authorCosta, Rute
dc.date.accessioned2020-04-29T09:04:57Z
dc.date.issued2020-05-16
dc.identifier.citationSalgado, Ana, Ahmadi, Sina, Simões, Alberto, McCrae, John P., & Costa, Rute. (2020). Challenges of word sense alignment: Portuguese language resources. Paper presented at the 7th Workshop on Linked Data in Linguistics: Building tools and infrastructure at the12th International Conference on Language Resources and Evaluation (LREC), Marseille, France (11-16 May).en_IE
dc.identifier.urihttp://hdl.handle.net/10379/15922
dc.description.abstractThis paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicionario Aberto ´ is carried out in the context of the ELEXIS (European Lexicographic Infrastructure) project. Word sense alignment involves searching for matching senses within dictionary entries of different lexical resources and linking them, which poses significant challenges. The lexicographic criteria are not always entirely consistent within individual dictionaries and even less so across different projects where different options may have been assumed in terms of structure and especially wording techniques of lexicographic glosses. This hinders the task of matching senses. We aim to present our annotation workflow in Portuguese using the Semantic Web standards. The results obtained are useful for the discussion within the community.en_IE
dc.description.sponsorshipThe authors would like to thank the anonymous reviewers for their thoughtful comments towards improving our manuscript. Research financed by Portuguese National Funding through the FCT – Fundac¸ao para a Ci ˜ encia e Tec- ˆ nologia as part of the project Centro de Lingu´ıstica da Universidade NOVA de Lisboa – UID/LIN/03213/2020, by the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 731015 (ELEXIS), and through the FCT/MCTES as part of the project 2Ai – School of Technology, IPCA – UIDB/05549/2020.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherNational University of Ireland Galwayen_IE
dc.relation.ispartofthe 7th Workshop on Linked Data in Linguistics: Building tools and infrastructure at the 12th International Conference on Language Resources and Evaluation (LREC)en
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectlexicographyen_IE
dc.subjectsense alignmenten_IE
dc.subjectlinguistic linked dataen_IE
dc.subjectPortugueseen_IE
dc.titleChallenges of word sense alignment: Portuguese language resourcesen_IE
dc.typeWorkshop paperen_IE
dc.date.updated2020-04-28T03:13:24Z
dc.identifier.doi10.13025/htat-gw66
dc.local.publishedsourcehttps://doi.org/10.13025/htat-gw66
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funderHorizon 2020en_IE
dc.contributor.funderFundação para a Ciência e a Tecnologiaen_IE
dc.description.embargo2020-05-16
dc.internal.rssid20805873
dc.local.contactSina Ahmadi, The Insight Centre For Data Analytics, National University Of Ireland, Galway , The Deri Building . Email: s.ahmadi1@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/731015/EU/European Lexicographic Infrastructure/ELEXISen_IE
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