{"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/extracting-biological-pathway-models-from-nlp","title":"Extracting Biological Pathway Models From NLP Event Representations","arxiv_id":"1608.03764","date":"2016-08-12","proceeding":"WS 2015 7","authors":["Michael Spranger","Sucheendra K. Palaniappan","Samik Ghosh"],"abstract":"This paper describes an an open-source software system for the automatic\nconversion of NLP event representations to system biology structured data\ninterchange formats such as SBML and BioPAX. It is part of a larger effort to\nmake results of the NLP community available for system biology pathway\nmodelers.","url_abs":"http://arxiv.org/abs/1608.03764v1","url_pdf":"http://arxiv.org/pdf/1608.03764v1.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":"extracting-biological-pathway-models-from-nlp","repo_url":"https://github.com/sbnlp/standoff-conversion","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}