The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task Overview and Evaluation Results (WebNLG+ 2020)
Thiago Castro Ferreira, Claire Gardent, Nikola Ilinykh, Chris van der Lee, Simon Mille, Diego Moussallem, Anastasia Shimorina
Abstract
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.
Topics & Concepts
Computer scienceParsingRDFTask (project management)Natural language processingArtificial intelligenceInformation retrievalSemantic WebEconomicsManagementNatural Language Processing TechniquesTopic ModelingBiomedical Text Mining and Ontologies