{"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/evaluating-informal-domain-word","title":"Evaluating Informal-Domain Word Representations With UrbanDictionary","arxiv_id":"1606.08270","date":"2016-06-27","proceeding":"WS 2016 8","authors":["Naomi Saphra","Adam Lopez"],"abstract":"Existing corpora for intrinsic evaluation are not targeted towards tasks in\ninformal domains such as Twitter or news comment forums. We want to test\nwhether a representation of informal words fulfills the promise of eliding\nexplicit text normalization as a preprocessing step. One possible evaluation\nmetric for such domains is the proximity of spelling variants. We propose how\nsuch a metric might be computed and how a spelling variant dataset can be\ncollected using UrbanDictionary.","url_abs":"http://arxiv.org/abs/1606.08270v1","url_pdf":"http://arxiv.org/pdf/1606.08270v1.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":"evaluating-informal-domain-word","repo_url":"https://github.com/nsaphra/urbandic-scraper","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"text-normalization","task_name":"Text Normalization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}