{"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/named-entity-disambiguation-using-deep","title":"Named Entity Disambiguation using Deep Learning on Graphs","arxiv_id":"1810.09164","date":"2018-10-22","proceeding":null,"authors":["Alberto Cetoli","Mohammad Akbari","Stefano Bragaglia","Andrew D. O'Harney","Marc Sloan"],"abstract":"We tackle \\ac{NED} by comparing entities in short sentences with \\wikidata{}\ngraphs. Creating a context vector from graphs through deep learning is a\nchallenging problem that has never been applied to \\ac{NED}. Our main\ncontribution is to present an experimental study of recent neural techniques,\nas well as a discussion about which graph features are most important for the\ndisambiguation task. In addition, a new dataset (\\wikidatadisamb{}) is created\nto allow a clean and scalable evaluation of \\ac{NED} with \\wikidata{} entries,\nand to be used as a reference in future research. In the end our results show\nthat a \\ac{Bi-LSTM} encoding of the graph triplets performs best, improving\nupon the baseline models and scoring an \\rm{F1} value of $91.6\\%$ on the\n\\wikidatadisamb{} test set","url_abs":"http://arxiv.org/abs/1810.09164v1","url_pdf":"http://arxiv.org/pdf/1810.09164v1.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":"named-entity-disambiguation-using-deep","repo_url":"https://github.com/ContextScout/ned-graphs","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"entity-disambiguation","task_name":"Entity Disambiguation"}],"methods":[],"datasets_introduced":[{"slug":"wikidata-disamb","name":"Wikidata-Disamb","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.09164","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}