{"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/cornell-spf-cornell-semantic-parsing","title":"Cornell SPF: Cornell Semantic Parsing Framework","arxiv_id":"1311.3011","date":"2013-11-13","proceeding":null,"authors":["Yoav Artzi"],"abstract":"The Cornell Semantic Parsing Framework (SPF) is a learning and inference\nframework for mapping natural language to formal representation of its meaning.","url_abs":"http://arxiv.org/abs/1311.3011v2","url_pdf":"http://arxiv.org/pdf/1311.3011v2.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":"cornell-spf-cornell-semantic-parsing","repo_url":"https://github.com/lil-lab/spf","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}