{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/learning-to-generate-wikipedia-summaries-for","title":"Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata","arxiv_id":"1803.07116","date":"2018-03-19","proceeding":"NAACL 2018 6","authors":["Lucie-Aimée Kaffee","Hady Elsahar","Pavlos Vougiouklis","Christophe Gravier","Frédérique Laforest","Jonathon Hare","Elena Simperl"],"abstract":"While Wikipedia exists in 287 languages, its content is unevenly distributed\namong them. In this work, we investigate the generation of open domain\nWikipedia summaries in underserved languages using structured data from\nWikidata. To this end, we propose a neural network architecture equipped with\ncopy actions that learns to generate single-sentence and comprehensible textual\nsummaries from Wikidata triples. We demonstrate the effectiveness of the\nproposed approach by evaluating it against a set of baselines on two languages\nof different natures: Arabic, a morphological rich language with a larger\nvocabulary than English, and Esperanto, a constructed language known for its\neasy acquisition.","url_abs":"http://arxiv.org/abs/1803.07116v2","url_pdf":"http://arxiv.org/pdf/1803.07116v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"learning-to-generate-wikipedia-summaries-for","repo_url":"https://github.com/pvougiou/Wikidata2Wikipedia","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.07116","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}