The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023)
Publication date
2023
Authors
Cripwell, Liam
Belz, Anya
Gardent, Claire
Gatt, Albert
Borg, Claudia
Borg, Marthese
Judge, John
Lorandi, Michela
Nikiforovskaya, Anna
Soto Martinez, William
Editors
Gatt, Albert
Gardent, Claire
Cripwell, Liam
Belz, Anya
Borg, Claudia
Erdem, Aykut
Erdem, Erkut
Advisors
Supervisors
DOI
Document Type
Part of book
Metadata
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License
cc_by
Abstract
The WebNLG task consists of mapping a knowledge graph to a text verbalising the con- tent of that graph. The 2017 WebNLG edi- tion required participating systems to gener- ate English text from a set of DBpedia triples, while the 2020 WebNLG+ challenge addition- ally included generation into Russian and se- mantic parsing of English and Russian texts. In contrast, WebNLG 2023 focuses on four under-resourced languages which are severely under-represented in research on text genera- tion, namely Breton, Irish, Maltese and Welsh. In addition, WebNLG 2023 once again includes Russian. In this paper, we present the organi- sation of the shared task (data, timeline, eval- uation), briefly describe the participating sys- tems and summarise results for participating systems.
Keywords
natural language generation, multilinguality, evaluation
Citation
Cripwell, L, Belz, A, Gardent, C, Gatt, A, Borg, C, Borg, M, Judge, J, Lorandi, M, Nikiforovskaya, A & Soto Martinez, W 2023, The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023). in A Gatt, C Gardent, L Cripwell, A Belz, C Borg, A Erdem & E Erdem (eds), Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023). Association for Computational Linguistics, pp. 55-66. < https://aclanthology.org/2023.mmnlg-1.6 >