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We present a prototype for the generation of Wikipedia articles from Wikidata in multiple languages. For the generation we leverage the multilingual resources in the GF Resource Grammars Library (RGL), the GF WordNet and the existing labels in Wikidata. The result is a system where we get an out-of-the-box baseline generation for currently 26 languages which can be quickly adjusted by hand to produce publishing quality documents. We evaluate six of the languages.

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Leveraging Grammatical Framework and WordNet for Natural Language Generation from Wikidata

  • 会议论文

  • 发表日期：

    2025年

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  • Krasimir Angelov,
  • Andrea Carrión del Fresno,
  • Ekaterina Voloshina,
  • Aarne Ranta

摘要

We present a prototype for the generation of Wikipedia articles from Wikidata in multiple languages. For the generation we leverage the multilingual resources in the GF Resource Grammars Library (RGL), the GF WordNet and the existing labels in Wikidata. The result is a system where we get an out-of-the-box baseline generation for currently 26 languages which can be quickly adjusted by hand to produce publishing quality documents. We evaluate six of the languages.