{"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/umlssimilarity-measuring-the-relatedness-and","title":"UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts","arxiv_id":null,"date":"2013-06-01","proceeding":"NAACL 2013 6","authors":["Bridget McInnes","Ted Pedersen","Serguei Pakhomov","Ying Liu","Genevieve Melton-Meaux"],"abstract":"","url_abs":"https://aclanthology.org/N13-3007","url_pdf":"https://aclanthology.org/N13-3007.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":[],"tasks":[{"task_slug":"semantic-textual-similarity","task_name":"Semantic Textual Similarity"}],"methods":[],"datasets_introduced":[{"slug":"umls","name":"UMLS","full_name":"Unified Medical Language System"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}