{"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/neural-wikipedian-generating-textual","title":"Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples","arxiv_id":"1711.00155","date":"2017-11-01","proceeding":null,"authors":["Pavlos Vougiouklis","Hady Elsahar","Lucie-Aimée Kaffee","Christoph Gravier","Frederique Laforest","Jonathon Hare","Elena Simperl"],"abstract":"Most people do not interact with Semantic Web data directly. Unless they have\nthe expertise to understand the underlying technology, they need textual or\nvisual interfaces to help them make sense of it. We explore the problem of\ngenerating natural language summaries for Semantic Web data. This is\nnon-trivial, especially in an open-domain context. To address this problem, we\nexplore the use of neural networks. Our system encodes the information from a\nset of triples into a vector of fixed dimensionality and generates a textual\nsummary by conditioning the output on the encoded vector. We train and evaluate\nour models on two corpora of loosely aligned Wikipedia snippets and DBpedia and\nWikidata triples with promising results.","url_abs":"http://arxiv.org/abs/1711.00155v1","url_pdf":"http://arxiv.org/pdf/1711.00155v1.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":"neural-wikipedian-generating-textual","repo_url":"https://github.com/pvougiou/Neural-Wikipedian","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"torch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1711.00155","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}