{"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/integer-programming-ensemble-of-temporal","title":"Integer-Programming Ensemble of Temporal-Relations Classifiers","arxiv_id":"1412.1866","date":"2014-12-05","proceeding":null,"authors":["Catherine Kerr","Terri Hoare","Paula Carroll","Jakub Marecek"],"abstract":"The extraction and understanding of temporal events and their relations are\nmajor challenges in natural language processing. Processing text on a\nsentence-by-sentence or expression-by-expression basis often fails, in part due\nto the challenge of capturing the global consistency of the text. We present an\nensemble method, which reconciles the outputs of multiple classifiers of\ntemporal expressions across the text using integer programming. Computational\nexperiments show that the ensemble improves upon the best individual results\nfrom two recent challenges, SemEval-2013 TempEval-3 (Temporal Annotation) and\nSemEval-2016 Task 12 (Clinical TempEval).","url_abs":"http://arxiv.org/abs/1412.1866v4","url_pdf":"http://arxiv.org/pdf/1412.1866v4.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":"integer-programming-ensemble-of-temporal","repo_url":"https://github.com/catherinekerr/ip-ensemble","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}