{"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/external-evaluation-of-event-extraction","title":"External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway","arxiv_id":"1707.02063","date":"2017-07-07","proceeding":"WS 2017 8","authors":["Wojciech Kusa","Michael Spranger"],"abstract":"This paper evaluates the impact of various event extraction systems on\nautomatic pathway curation using the popular mTOR pathway. We quantify the\nimpact of training data sets as well as different machine learning classifiers\nand show that some improve the quality of automatically extracted pathways.","url_abs":"http://arxiv.org/abs/1707.02063v1","url_pdf":"http://arxiv.org/pdf/1707.02063v1.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":"external-evaluation-of-event-extraction","repo_url":"https://github.com/sbnlp/2017BioNLPEvaluation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"event-extraction","task_name":"Event Extraction"}],"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}