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.
results of the generation and semantic parsing task for both English and Russian and provide a brief description of the participating systems.
Original language | English |
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Pages (from-to) | 55-76 |
Number of pages | 21 |
Journal | Proceedings of the 2nd International Workshop on Natural Language Generation from the Semantic Web |
Publication status | Published - 18 Dec 2020 |
Event | International Workshop on Natural Language Generation from the Semantic Web 2020 - Online, Dublin, Ireland Duration: 18 Dec 2020 → 18 Dec 2020 Conference number: 3 |