{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T17:35:40Z","timestamp":1787333740521,"version":"build-2736575974"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"5","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["J Am Med Inform Assoc"],"published-print":{"date-parts":[[2013,9]]},"DOI":"10.1136\/amiajnl-2012-001607","type":"journal-article","created":{"date-parts":[[2013,3,6]],"date-time":"2013-03-06T21:40:16Z","timestamp":1362606016000},"page":"849-858","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":44,"title":["An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge"],"prefix":"10.1093","volume":"20","author":[{"given":"Yan","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yining","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianren","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junichi","family":"Tsujii","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric I-Chao","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2013,9,1]]},"reference":[{"key":"2015062501525257000_20.5.849.1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2013-001628"},{"key":"2015062501525257000_20.5.849.2","doi-asserted-by":"crossref","unstructured":"Chambers N Wang S Jurafsky D . Classifying temporal relations between events. Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007). Progue, Czech Republic: Association for Computational Linguistics, 2007:173\u20136.","DOI":"10.3115\/1557769.1557820"},{"key":"2015062501525257000_20.5.849.3","doi-asserted-by":"crossref","unstructured":"Chambers N Jurafsky D . Jointly combining implicit constraints improves temporal ordering. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2008). Waikiki, Honolulu, Hawaii: Association for Computational Linguistics, 2008:698\u2013706.","DOI":"10.3115\/1613715.1613803"},{"key":"2015062501525257000_20.5.849.4","doi-asserted-by":"crossref","unstructured":"Yoshikawa K Riedel S Asahara M . Jointly identifying temporal relations with markov logic. Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL-IJNLP 2009). Singapore: Association for Computational Linguistics, 2009:405\u201313.","DOI":"10.3115\/1687878.1687936"},{"key":"2015062501525257000_20.5.849.5","unstructured":"Zhao R Do QX Roth D . A robust shallow temporal reasoning system. Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2012). Montreal: Association for Computational Linguistics, 2012:29\u201332."},{"key":"2015062501525257000_20.5.849.6","unstructured":"Garrido G del Rosal J . Pattern Learning for Relation Extraction with a Hierarchical Topic Model. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). Jeju, Korea: Association for Computational Linguistics, 2012:54\u20139."},{"key":"2015062501525257000_20.5.849.7","doi-asserted-by":"crossref","unstructured":"Bunescu RC Mooney RJ . A shortest path dependency kernel for relation extraction. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT\/EMLP 2005). Austin, USA: Association for Computational Linguistics, 2005:724\u201331.","DOI":"10.3115\/1220575.1220666"},{"key":"2015062501525257000_20.5.849.8","doi-asserted-by":"crossref","unstructured":"Mani I Verhagen M Wellner B . Machine learning of temporal relations. Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics (ACL 2006). Sydney, Australia: Association for Computational Linguistics, 2006:753\u201360.","DOI":"10.3115\/1220175.1220270"},{"key":"2015062501525257000_20.5.849.9","unstructured":"Tempeval 2007. http:\/\/labs.thomsonreuters.com\/files\/studiessurveys\/tempeval.pdf (accessed 2012)."},{"key":"2015062501525257000_20.5.849.10","unstructured":"Tempeval 2010|. http:\/\/timeml.org\/tempeval2\/ (accessed 2012)."},{"key":"2015062501525257000_20.5.849.11","unstructured":"Strotgen J Gertz M . HeidelTime: High quality rule-based extraction and normalization of temporal expressions. Proceedings of the 5th International Workshop on Semantic Evaluation. Uppsala, Swden: Association for Computational Linguistics, 2010:321\u20134."},{"key":"2015062501525257000_20.5.849.12","unstructured":"UzZaman N Allen JF . TRIPS and TRIOS system for TempEval-2: Extracting temporal information from text. Proceedings of the 5th International Workshop on Semantic Evaluation. Uppsala, Swden: Association for Computational Linguistics, 2010:276\u201383."},{"key":"2015062501525257000_20.5.849.13","unstructured":"Raghavan P Fosler-Lussier E Lai AM . Learning to temporally order medical events in clinical text. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). Jeju, Korea: Association for Computational Linguistics, 2012:70\u20134."},{"key":"2015062501525257000_20.5.849.14","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2010.004804"},{"key":"2015062501525257000_20.5.849.15","unstructured":"Zhou L Friedman C Parsons S . System architecture for temporal information extraction, representation and reasoning in clinical narrative reports. Proc AMIA Symp 2005. Washington, DC, USA, 2005:869."},{"key":"2015062501525257000_20.5.849.16","unstructured":"Jung H Allen J Blaylock N . Building timelines from narrative clinical records: initial results based-on deep natural language understanding. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2011). Portland, Oregon, USA, 2011: 146\u201354."},{"key":"2015062501525257000_20.5.849.17","unstructured":"CRF++. http:\/\/crfpp.googlecode.com\/svn\/trunk\/doc\/index.html (accessed 2012)."},{"key":"2015062501525257000_20.5.849.18","unstructured":"multi-SVM. http:\/\/svmlight.joachims.org\/svm_multiclass.html (accessed 2012)."},{"key":"2015062501525257000_20.5.849.19","unstructured":"markov logic networks. http:\/\/code.google.com\/p\/thebeast\/ (accessed 2012)."},{"key":"2015062501525257000_20.5.849.20","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000776"},{"key":"2015062501525257000_20.5.849.21","unstructured":"Enju parser. http:\/\/www.nactem.ac.uk\/enju\/demo.html (accessed 2012)."},{"key":"2015062501525257000_20.5.849.22","unstructured":"Stanford parser. http:\/\/nlp.stanford.edu:8080\/parser\/ (accessed 2012)."},{"key":"2015062501525257000_20.5.849.23","doi-asserted-by":"crossref","unstructured":"Agrawal R Srikant R . Mining sequential patterns. Proceedings of the 11th International Conference on Data Engineering (ICDE 1995). Taipei, Taiwan: International Conference on Data Engineering, 1995:3\u201314.","DOI":"10.1109\/ICDE.1995.380415"},{"key":"2015062501525257000_20.5.849.24","doi-asserted-by":"crossref","unstructured":"Cong G Wang L Lin CY . Finding question-answer pairs from online forums. Proceedings of the 31st ACM Special Interest Group on Information Retrieval (SIGIR 2008). Singapore: ACM Special Interest Group on Information Retrieval, 2008:467\u201374.","DOI":"10.1145\/1390334.1390415"},{"key":"2015062501525257000_20.5.849.25","unstructured":"Sun G Cong G Liu X . Mining sequential patterns and tree patterns to detect erroneous sentences. Proceedings of the 22nd Conference on Artificial Intelligence (AAAI 2007). Vancouver, British Columbia, Canada: Association for the Advancement of Artificial Intelligence, 2007:925\u201330."},{"key":"2015062501525257000_20.5.849.26","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M3037"}],"container-title":["Journal of the American Medical Informatics Association"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/jamia\/article-pdf\/20\/5\/849\/17374728\/20-5-849.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T19:24:10Z","timestamp":1745954650000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jamia\/article-lookup\/doi\/10.1136\/amiajnl-2012-001607"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,9]]},"references-count":26,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2013,9,1]]},"published-print":{"date-parts":[[2013,9]]}},"alternative-id":["10.1136\/amiajnl-2012-001607"],"URL":"https:\/\/doi.org\/10.1136\/amiajnl-2012-001607","relation":{},"ISSN":["1067-5027","1527-974X"],"issn-type":[{"value":"1067-5027","type":"print"},{"value":"1527-974X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,9]]}}}