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The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023)

Title: The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023)
Authors: Cripwell, Liam; Belz, Anya; Gardent, Claire; Gatt, Albert; Borg, Claudia; Borg, Marthese; Judge, John; Lorandi, Michela; Nikiforovskaya, Anna; Soto Martinez, William; Dep Informatica; Sub Natural Language Processing; Natural Language Processing; Erdem, Aykut; Erdem, Erkut
Publication Year: 2023
Subject Terms: natural language generation; multilinguality; evaluation
Description: 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.
Document Type: book part
File Description: application/pdf
Language: English
Relation: https://dspace.library.uu.nl/handle/1874/436503
Availability: https://dspace.library.uu.nl/handle/1874/436503
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.C440DA3F
Database: BASE