The challenge comprises two main tasks:
RDF-to-text generation, similarly to WebNLG 2017 but with new data and into two languages;
Text-to-RDF semantic parsing: converting a text into the corresponding set of RDF triples.
For Task 1, given the four RDF triples shown in (a), the aim is to generate a text such as (b) or (c). For Task 2, the opposite should be achieved, i.e. to generate the triples in (a) starting from text as in (b) or (c).
More details can be found on the WebNLG website.
Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, Chris van der Lee, Simon Mille, Diego Moussallem, and Anastasia Shimorina. 2020. The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020). In Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+), pages 55–76, Dublin, Ireland (Virtual). Association for Computational Linguistics.
Training and test data: WebNLG version 3.0
Repository with human scores, submissions, and scripts: https://github.com/WebNLG/challenge-2020
https://github.com/WebNLG/challenge-2020/tree/main/submissions#participant-overview