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https://www.um.edu.mt/library/oar/handle/123456789/114781| 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 |
| Keywords: | Natural language generation (Computer science) Machine translating Artificial intelligence |
| Issue Date: | 2023 |
| Publisher: | Association for Computational Linguistics |
| Citation: | Cripwell, L., Belz, A., Gardent, C., Gatt, A., Borg, C., Borg, M.,…Soto-Martinez, W. (2023). The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023). Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023), Prague. 55-66. |
| 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. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/114781 |
| Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023.mmnlg-1.6.pdf | 502.86 kB | Adobe PDF | View/Open |
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