William Soto Martinez
2023
The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023)
Liam Cripwell
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Anya Belz
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Claire Gardent
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Albert Gatt
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Claudia Borg
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Marthese Borg
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John Judge
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Michela Lorandi
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Anna Nikiforovskaya
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William Soto Martinez
Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)
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.
Phylogeny-Inspired Soft Prompts For Data-to-Text Generation in Low-Resource Languages
William Soto Martinez
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Yannick Parmentier
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Claire Gardent
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
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Co-authors
- Claire Gardent 2
- Liam Cripwell 1
- Anja Belz 1
- Albert Gatt 1
- Claudia Borg 1
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