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A Report on the VarDial Evaluation Campaign 2020

Mihaela Găman, Dirk Hovy, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Lindén, Nikola Ljubešić, Niko Partanen, Christoph Purschke, Yves Scherrer, Marcos Zampieri

2020Työväentutkimus Vuosikirja28 citationsOpen Access PDF

Abstract

This paper presents the results of the VarDial Evaluation Campaign 2020 organized as part of the seventh workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with COLING 2020. The campaign included three shared tasks each focusing on a different challenge of language and dialect identification: Romanian Dialect Identification (RDI), Social Media Variety Geolocation (SMG), and Uralic Language Identification (ULI). The campaign attracted 30 teams who enrolled to participate in one or multiple shared tasks and 14 of them submitted runs across the three shared tasks. Finally, 11 papers describing participating systems are published in the VarDial proceedings and referred to in this report.

Topics & Concepts

GeolocationVariety (cybernetics)RomanianIdentification (biology)Computer scienceSocial mediaNewspaperNatural language processingArtificial intelligenceLinguisticsWorld Wide WebMedia studiesSociologyPhilosophyBiologyBotanyNatural Language Processing TechniquesAuthorship Attribution and ProfilingTopic Modeling
A Report on the VarDial Evaluation Campaign 2020 | Litcius