Publication | Open Access
The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task Overview and Evaluation Results (WebNLG+ 2020)
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2020
Year
EngineeringCross-lingual RepresentationMultilingualismWebnlg+ 2020CommunicationSemantic WebSemanticsCross-language PerspectiveCorpus LinguisticsRdf TriplesText MiningNatural Language ProcessingData ScienceComputational LinguisticsLanguage EngineeringBilingualismCorpus AnalysisLanguage StudiesMachine TranslationNlp TaskLanguage TechnologyWebnlg+ Offers TwoSemantic ComputingSemantic ParsingBilingual EducationEvaluation ResultsEponymous Webnlg ChallengeLinguisticsSemantic Representation
WebNLG+ offers two challenges: (i) mapping sets of RDF triples to English or Russian text (generation) and (ii) converting English or Russian text to sets of RDF triples (semantic parsing). Compared to the eponymous WebNLG challenge, WebNLG+ provides an extended dataset that enable the training, evaluation, and comparison of microplanners and semantic parsers. In this paper, we present the results of the generation and semantic parsing task for both English and Russian and provide a brief description of the participating systems.