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dc.contributor.authorAhmadi, Sina
dc.contributor.authorMcCrae, John P.
dc.contributor.authorNimb, Sanni
dc.contributor.authorKhan, Fahad
dc.contributor.authorMonachini, Monica
dc.contributor.authorPedersen, Bolette S.
dc.contributor.authorDeclerck, Thierry
dc.contributor.authorWissik, Tanja
dc.contributor.authorBellandi, Andrea
dc.contributor.authorPisani, Irene
dc.contributor.authorTroelsgård, Thomas
dc.contributor.authorOlsen, Sussi
dc.contributor.authorKrek, Simon
dc.contributor.authorLipp, Veronika
dc.contributor.authorVáradi, Tamás
dc.contributor.authorSimon, László
dc.contributor.authorGyorffy, Andras
dc.contributor.authorTiberius, Carole
dc.contributor.authorSchoonheim, Tanneke
dc.contributor.authorMoshe, Yifat Ben
dc.contributor.authorRudich, Maya
dc.contributor.authorAhmad, Raya Abu
dc.contributor.authorLonke, Dorielle
dc.contributor.authorKovalenko, Kira
dc.contributor.authorLangemets, Margit
dc.contributor.authorKallas, Jelena
dc.contributor.authorOksana, Dereza
dc.contributor.authorFransen, Theodorus
dc.contributor.authorCillessen, David
dc.contributor.authorLindemann, David
dc.contributor.authorAlonso, Mikel
dc.contributor.authorSalgado, Ana
dc.contributor.authorSancho, Jose Luis
dc.contributor.authorUrena-Ruiz, Rafael-J.
dc.contributor.authorZamorano, Jordi Porta
dc.contributor.authorSimov, Kiril
dc.contributor.authorOsenova, Petya
dc.contributor.authorKancheva, Zara
dc.contributor.authorRadev, Ivaylo
dc.contributor.authorStankovic, Ranka
dc.contributor.authorPerdih, Andrej
dc.contributor.authorGabrovsek, Dejan
dc.identifier.citationAhmadi, Sina, McCrae, John P. et al. (2020). A multilingual evaluation dataset for monolingual word sense alignment, Paper presented at the 12th International Conference on Language Resources and Evaluation (LREC), Marseille, France (11-16 May).en_IE
dc.description.abstractAligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data will pave the way for further advances in alignment and evaluation of word senses by creating new solutions, particularly those notoriously requiring data such as neural networks. Our resources are publicly available at
dc.description.sponsorshipThe authors would like to thank the three anonymous reviewers for their insightful suggestions and careful reading of the manuscript. This work has received funding from the EU’s Horizon 2020 Research and Innovation programme through the ELEXIS project under grant agreement No. 731015. The contributions in Bulgarian were partially funded by the Bulgarian National Interdisciplinary Research e-Infrastructure for Resources and Technologies in favor of the Bulgarian Language and Cultural Heritage, part of the EU infrastructures CLARIN and DARIAH – CLaDA-BG, Grant number DO1- 272/16.12.2019. This work is also supported by Sci- ence Foundation Ireland (SFI) under the Insight Center for Data Analytics (Grant Number SFI/12/RC/2289) and the Irish Research Council under the “Cardamom” Consolidator Laureate Grant (IRCLA/2017/129).en_IE
dc.publisherNational University of Ireland Galwayen_IE
dc.relation.ispartofProceedings of the 12th Language Resource and Evaluation Conference (LREC 2020)en
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.subjectlexical semantic resourcesen_IE
dc.subjectsense alignmenten_IE
dc.subjectlanguage resourceen_IE
dc.titleA multilingual evaluation dataset for monolingual word sense alignmenten_IE
dc.typeConference Paperen_IE
dc.contributor.funderHorizon 2020en_IE
dc.contributor.funderBulgarian National Interdisciplinary Research e-Infrastructure for Resources and Technologiesen_IE
dc.contributor.funderScience Foundation Irelanden_IE
dc.contributor.funderIrish Research Councilen_IE
dc.local.contactSina Ahmadi, The Insight Centre For Data Analytics, National University Of Ireland, Galway , The Deri Building . Email:
dcterms.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/731015/EU/European Lexicographic Infrastructure/ELEXISen_IE
dcterms.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en_IE

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