{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T09:22:01Z","timestamp":1778145721798,"version":"3.51.4"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,10,24]],"date-time":"2018-10-24T00:00:00Z","timestamp":1540339200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,10,24]],"date-time":"2018-10-24T00:00:00Z","timestamp":1540339200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000057","name":"National Institute of General Medical Sciences","doi-asserted-by":"publisher","award":["R01GM102282"],"award-info":[{"award-number":["R01GM102282"]}],"id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000092","name":"U.S. National Library of Medicine","doi-asserted-by":"publisher","award":["R01LM11934"],"award-info":[{"award-number":["R01LM11934"]}],"id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["R01EB19403"],"award-info":[{"award-number":["R01EB19403"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Lang Resources & Evaluation"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s10579-018-9431-1","type":"journal-article","created":{"date-parts":[[2018,10,24]],"date-time":"2018-10-24T06:20:18Z","timestamp":1540362018000},"page":"57-72","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":87,"title":["MedSTS: a resource for clinical semantic textual similarity"],"prefix":"10.1007","volume":"54","author":[{"given":"Yanshan","family":"Wang","sequence":"first","affiliation":[]},{"given":"Naveed","family":"Afzal","sequence":"additional","affiliation":[]},{"given":"Sunyang","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Liwei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Feichen","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Majid","family":"Rastegar-Mojarad","sequence":"additional","affiliation":[]},{"given":"Hongfang","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,24]]},"reference":[{"key":"9431_CR1","doi-asserted-by":"crossref","unstructured":"Afzal, N., Wang, Y., & Liu, H. (2016). MayoNLP at SemEval-2016 Task 1: Semantic textual similarity based on lexical semantic net and deep learning semantic model. In Proceedings of SemEval (pp.674-679).","DOI":"10.18653\/v1\/S16-1103"},{"key":"9431_CR2","doi-asserted-by":"crossref","unstructured":"Agirre, E., Banea, C., Cardie, C., Cer, D., Diab, M. Gonzalez-Agirre, A., et al. (2014). Semeval-2014 task 10: Multilingual semantic textual similarity. In Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014).","DOI":"10.3115\/v1\/S14-2010"},{"key":"9431_CR3","doi-asserted-by":"crossref","unstructured":"Agirre, E., Banea, C., Cardiec, C., Cerd, D., Diabe, M., Gonzalez-Agirre, A., et al. (2015). Semeval-2015 task 2: Semantic textual similarity, English, Spanish and pilot on interpretability. In Proceedings of the 9th international workshop on semantic evaluation (SemEval 2015).","DOI":"10.18653\/v1\/S15-2045"},{"key":"9431_CR4","doi-asserted-by":"crossref","unstructured":"Agirre, E., Banea, C., Cerd, D., Diabe, M., Gonzalez-Agirre, A., Mihalceab, R., et al. (2016). Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation. In Proceedings of SemEval (pp. 497\u2013511).","DOI":"10.18653\/v1\/S16-1081"},{"key":"9431_CR5","unstructured":"Agirre, E., Cer, D., Diab, M., Gonzalez-Agirre, A., & Guo, W. (2013). SEM 2013 shared task: Semantic textual similarity, including a pilot on typed-similarity. In SEM 2013: The second joint conference on lexical and computational semantics. Citeseer. Philadelphia: Association for Computational Linguistics."},{"key":"9431_CR6","unstructured":"Agirre, E., Diab, M., Cer, D., & Gonzalez-Agirre, A. (2012). Semeval-2012 task 6: A pilot on semantic textual similarity. In Proceedings of the first joint conference on lexical and computational semantics-Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the sixth international workshop on semantic evaluation. Philadelphia: Association for Computational Linguistics."},{"issue":"4","key":"9431_CR7","doi-asserted-by":"publisher","first-page":"7764","DOI":"10.1016\/j.eswa.2008.11.022","volume":"36","author":"RM Aliguliyev","year":"2009","unstructured":"Aliguliyev, R. M. (2009). A new sentence similarity measure and sentence based extractive technique for automatic text summarization. Expert Systems with Applications,36(4), 7764\u20137772.","journal-title":"Expert Systems with Applications"},{"issue":"7","key":"9431_CR8","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.knosys.2008.10.007","volume":"22","author":"J Atkinson","year":"2009","unstructured":"Atkinson, J., Ferreira, A., & Aravena, E. (2009). Discovering implicit intention-level knowledge from natural-language texts. Knowledge-Based Systems,22(7), 502\u2013508.","journal-title":"Knowledge-Based Systems"},{"key":"9431_CR9","unstructured":"B\u00e4r, D., Biemann, C., Gurevych, I., & Zesch, T. (2012). Ukp: Computing semantic textual similarity by combining multiple content similarity measures. In: Proceedings of the first joint conference on lexical and computational semantics-Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the sixth international workshop on semantic evaluation. Philadelphia: Association for Computational Linguistics."},{"issue":"3","key":"9431_CR10","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1162\/089120105774321091","volume":"31","author":"R Barzilay","year":"2005","unstructured":"Barzilay, R., & McKeown, K. R. (2005). Sentence fusion for multidocument news summarization. Computational Linguistics,31(3), 297\u2013328.","journal-title":"Computational Linguistics"},{"key":"9431_CR11","unstructured":"Best, C., van der Goot, E., Blackler, K., Garcia, T., & Horby, D. (2005). Europe media monitor. Technical Report EUR221 73 EN, European Commission."},{"key":"9431_CR12","unstructured":"Black, P. E. (2004). Ratcliff\/Obershelp pattern recognition. In V. Pieterse & P. E. Black, (Eds.), Dictionary of algorithms and data structures (Vol. 17)."},{"issue":"4","key":"9431_CR13","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/j.knosys.2007.07.004","volume":"21","author":"Y Blanco-Fern\u00e1ndez","year":"2008","unstructured":"Blanco-Fern\u00e1ndez, Y., Pazos-Arias, J. J., Gil-Solla, A., Ramos-Cabrer, M., L\u00f3pez-Nores, M., Garc\u00eda-Duque, J., et al. (2008). A flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems. Knowledge-Based Systems,21(4), 305\u2013320.","journal-title":"Knowledge-Based Systems"},{"issue":"25","key":"9431_CR14","doi-asserted-by":"publisher","first-page":"2426","DOI":"10.1056\/NEJMsr1112158","volume":"365","author":"D Blumenthal","year":"2011","unstructured":"Blumenthal, D. (2011). Implementation of the federal health information technology initiative. New England Journal of Medicine,365(25), 2426\u20132431.","journal-title":"New England Journal of Medicine"},{"issue":"1","key":"9431_CR15","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s10579-009-9112-1","volume":"45","author":"P Clough","year":"2011","unstructured":"Clough, P., & Stevenson, M. (2011). Developing a corpus of plagiarised short answers. Language Resources and Evaluation,45(1), 5\u201324.","journal-title":"Language Resources and Evaluation"},{"key":"9431_CR16","unstructured":"Corley, C. (2007). A knowledge-based approach to text-to-text similarity CoUrTney Corley, Andras Csomai & Rada Mihalcea Dept. of Computer Science, University of North Texas. In Recent advances in natural language processing IV: Selected Papers from RANLP 2005 (Vol. 292, p. 197)."},{"key":"9431_CR17","unstructured":"Corley, C., & Mihalcea, R. (2005). Measuring the semantic similarity of texts. In Proceedings of the ACL workshop on empirical modeling of semantic equivalence and entailment. Philadelphia: Association for Computational Linguistics."},{"key":"9431_CR18","unstructured":"Dzikovska, M. O., Moore, J. D., Steinhauser, N., Campbell, G., Farrow, E., & Callaway, C. B. (2010). Beetle II: A system for tutoring and computational linguistics experimentation. In Proceedings of the ACL 2010 system demonstrations. Philadelphia: Association for Computational Linguistics."},{"issue":"4","key":"9431_CR19","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1136\/amiajnl-2012-000946","volume":"20","author":"PJ Embi","year":"2013","unstructured":"Embi, P. J., Weir, C., Efthimiadis, E. N., Thielke, S. M., Hedeen, A. N., & Hammond, K. W. (2013). Computerized provider documentation: Findings and implications of a multisite study of clinicians and administrators. Journal of the American Medical Informatics Association,20(4), 718\u2013726.","journal-title":"Journal of the American Medical Informatics Association"},{"key":"9431_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.csl.2016.01.003","volume":"39","author":"R Ferreira","year":"2016","unstructured":"Ferreira, R., Lins, R. D., Simske, S. J., Freitas, F., & Riss, M. (2016). Assessing sentence similarity through lexical, syntactic and semantic analysis. Computer Speech & Language,39, 1\u201328.","journal-title":"Computer Speech & Language"},{"key":"9431_CR21","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/978-1-4471-4474-8_8","volume-title":"Biomedical informatics","author":"C Friedman","year":"2014","unstructured":"Friedman, C., & Elhadad, N. (2014). Natural language processing in health care and biomedicine. In E. H. Shortliffe & J. J. Cimino (Eds.), Biomedical informatics (pp. 255\u2013284). London: Springer."},{"key":"9431_CR22","unstructured":"Guo, W., Li, H., Ji, H., & Diab, M. T. (2013). Linking tweets to news: A framework to enrich short text data in social media. In ACL (1), Citeseer."},{"issue":"2","key":"9431_CR23","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1136\/amiajnl-2014-002945","volume":"22","author":"JS Hirsch","year":"2015","unstructured":"Hirsch, J. S., Tanenbaum, J. S., Gorman, S. L., Liu, C., Schmitz, E., Hashorva, D., et al. (2015). HARVEST, a longitudinal patient record summarizer. Journal of the American Medical Informatics Association,22(2), 263\u2013274.","journal-title":"Journal of the American Medical Informatics Association"},{"key":"9431_CR24","unstructured":"Hovy, E., Marcus, M., Palmer, M., Ramshaw, L., & Weischedel, R. (2006). OntoNotes: The 90% solution. In Proceedings of the human language technology conference of the NAACL, Companion Volume: Short Papers. Philadelphia: Association for Computational Linguistics."},{"issue":"2","key":"9431_CR25","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1145\/1376815.1376819","volume":"2","author":"A Islam","year":"2008","unstructured":"Islam, A., & Inkpen, D. (2008). Semantic text similarity using corpus-based word similarity and string similarity. ACM Transactions on Knowledge Discovery from Data (TKDD),2(2), 10.","journal-title":"ACM Transactions on Knowledge Discovery from Data (TKDD)"},{"key":"9431_CR26","unstructured":"Kauchak, D., & Barzilay, R. (2006). Paraphrasing for automatic evaluation. In Proceedings of the main conference on human language technology conference of the North American Chapter of the Association of Computational Linguistics. Philadelphia: Association for Computational Linguistics."},{"issue":"4","key":"9431_CR27","doi-asserted-by":"publisher","first-page":"301","DOI":"10.7326\/M14-2128","volume":"162","author":"T Kuhn","year":"2015","unstructured":"Kuhn, T., Basch, P., Barr, M., & Yackel, T. (2015). Clinical documentation in the 21st century: Executive summary of a policy position paper from the American College of Physicians Clinical Documentation in the 21st century. Annals of Internal Medicine,162(4), 301\u2013303.","journal-title":"Annals of Internal Medicine"},{"key":"9431_CR28","unstructured":"Li, D., Rastegar-Mojarad, M., Elayavilli, R. K., Wang, Y., Mehrabi, S., Yu, Y., et al. (2015). A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. In Proceedings of the 6th ACM conference on bioinformatics, computational biology and health informatics. London: ACM."},{"key":"9431_CR29","doi-asserted-by":"crossref","unstructured":"Li, T., & Srikumar, V. (2016). Exploiting sentence similarities for better alignments. In Proceedings of EMNLP.","DOI":"10.18653\/v1\/D16-1237"},{"issue":"8","key":"9431_CR30","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1109\/TKDE.2006.130","volume":"18","author":"Y Li","year":"2006","unstructured":"Li, Y., McLean, D., Bandar, Z. A., O\u2019shea, J. D., & Crockett, K. (2006). Sentence similarity based on semantic nets and corpus statistics. IEEE Transactions on Knowledge and Data Engineering,18(8), 1138\u20131150.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"9431_CR31","unstructured":"Magnolini, S., Vo, N. P. A., & Popescu, O. (2016). Analysis of the impact of machine translation evaluation metrics for semantic textual similarity. In AI* IA 2016 advances in artificial intelligence (pp. 450\u2013463). Berlin: Springer."},{"issue":"4","key":"9431_CR32","doi-asserted-by":"publisher","first-page":"647","DOI":"10.13053\/cys-20-4-2506","volume":"20","author":"G Majumder","year":"2016","unstructured":"Majumder, G., Pakray, P., Gelbukh, A., & Pinto, D. (2016). Semantic textual similarity methods, tools, and applications: A survey. Computaci\u00f3n y Sistemas,20(4), 647\u2013665.","journal-title":"Computaci\u00f3n y Sistemas"},{"key":"9431_CR33","first-page":"128","volume":"35","author":"SM Meystre","year":"2008","unstructured":"Meystre, S. M., Savova, G. K., Kipper-Schuler, K. C., & Hurdle, J. F. (2008). Extracting information from textual documents in the electronic health record: A review of recent research. Yearbook of Medical Informatics,35, 128\u2013144.","journal-title":"Yearbook of Medical Informatics"},{"issue":"11","key":"9431_CR34","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/219717.219748","volume":"38","author":"GA Miller","year":"1995","unstructured":"Miller, G. A. (1995). WordNet: a lexical database for English. Communications of the ACM,38(11), 39\u201341.","journal-title":"Communications of the ACM"},{"key":"9431_CR35","volume-title":"The Oxford handbook of computational linguistics","author":"R Mitkov","year":"2005","unstructured":"Mitkov, R. (2005). The Oxford handbook of computational linguistics. Oxford: Oxford University Press."},{"key":"9431_CR36","unstructured":"Moon, S., Liu, S., Kingsbury, P., Chen, D., Wang, Y., Shen, F., et al. (2017). Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. In 2017 IEEE international conference on bioinformatics and biomedicine (BIBM) (pp. 1495\u20131500). Washington: IEEE."},{"key":"9431_CR37","unstructured":"Patwardhan, S., Banerjee, S., & Pedersen, T. (2003). Using measures of semantic relatedness for word sense disambiguation. In International conference on intelligent text processing and computational linguistics. Berlin: Springer."},{"key":"9431_CR38","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1098\/rspl.1895.0041","volume":"58","author":"K Pearson","year":"1895","unstructured":"Pearson, K. (1895). Note on regression and inheritance in the case of two parents. Proceedings of the Royal Society of London,58, 240\u2013242.","journal-title":"Proceedings of the Royal Society of London"},{"key":"9431_CR40","unstructured":"Pedersen, T., Patwardhan, S., & Michelizzi, J. (2004). WordNet:: Similarity\u2014Measuring the relatedness of concepts. Demonstration papers at HLT-NAACL 2004. Philadelphia: Association for Computational Linguistics."},{"issue":"3","key":"9431_CR39","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.jbi.2006.06.004","volume":"40","author":"T Pedersen","year":"2007","unstructured":"Pedersen, T., Pakhomov, S. V., Patwardhan, S., & Chute, C. G. (2007). Measures of semantic similarity and relatedness in the biomedical domain. Journal of Biomedical Informatics,40(3), 288\u2013299.","journal-title":"Journal of Biomedical Informatics"},{"issue":"5","key":"9431_CR41","doi-asserted-by":"publisher","first-page":"938","DOI":"10.1093\/jamia\/ocv032","volume":"22","author":"R Pivovarov","year":"2015","unstructured":"Pivovarov, R., & Elhadad, N. (2015). Automated methods for the summarization of electronic health records. Journal of the American Medical Informatics Association,22(5), 938\u2013947.","journal-title":"Journal of the American Medical Informatics Association"},{"issue":"99","key":"9431_CR42","first-page":"54","volume":"199","author":"S Pradhan","year":"2014","unstructured":"Pradhan, S., Elhadad, N., Chapman, W., Manandhar, S., & Savova, G. (2014). Semeval-2014 task 7: Analysis of clinical text. SemEval,199(99), 54.","journal-title":"SemEval"},{"issue":"1","key":"9431_CR43","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/21.24528","volume":"19","author":"R Rada","year":"1989","unstructured":"Rada, R., Mili, H., Bicknell, E., & Blettner, M. (1989). Development and application of a metric on semantic nets. IEEE Transactions on Systems, Man, and Cybernetics,19(1), 17\u201330.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"9431_CR44","unstructured":"Raganato, A., Camacho-Collados, J., Raganato, A., & Joung, Y. (2016). Semantic indexing of multilingual corpora and its application on the history domain. In LT4DH 2016 (p. 140)."},{"key":"9431_CR45","unstructured":"Rashtchian, C., Young, P., Hodosh, M., & Hockenmaier, J. (2010). Collecting image annotations using Amazon\u2019s mechanical turk. In Proceedings of the NAACL HLT 2010 workshop on creating speech and language data with Amazon\u2019s Mechanical Turk. Philadelphia: Association for Computational Linguistics."},{"key":"9431_CR46","doi-asserted-by":"crossref","unstructured":"Rastegar-Mojarad, M., Liu, S., Wang, Y., Afzal, N., Wang, L., Shen, F., et al. (2018). BioCreative\/OHNLP Challenge 2018. In ACM-BCB.","DOI":"10.1145\/3233547.3233672"},{"issue":"11","key":"9431_CR47","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1145\/361219.361220","volume":"18","author":"G Salton","year":"1975","unstructured":"Salton, G., Wong, A., & Yang, C.-S. (1975). A vector space model for automatic indexing. Communications of the ACM,18(11), 613\u2013620.","journal-title":"Communications of the ACM"},{"key":"9431_CR48","unstructured":"\u0160ari\u0107, F., Glava\u0161, G., Karan, M., \u0160najder, J., & Ba\u0161i\u0107, B. D. (2012). Takelab: Systems for measuring semantic text similarity. In Proceedings of the first joint conference on lexical and computational semantics-Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the sixth international workshop on semantic evaluation. Philadelphia: Association for Computational Linguistics."},{"issue":"5","key":"9431_CR49","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1136\/jamia.2009.001560","volume":"17","author":"GK Savova","year":"2010","unstructured":"Savova, G. K., Masanz, J. J., Ogren, P. V., Zheng, J., Sohn, S., Kipper-Schuler, K. C., et al. (2010). Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): Architecture, component evaluation and applications. Journal of the American Medical Informatics Association,17(5), 507\u2013513.","journal-title":"Journal of the American Medical Informatics Association"},{"issue":"12","key":"9431_CR50","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1056\/NEJMp0911734","volume":"362","author":"GD Schiff","year":"2010","unstructured":"Schiff, G. D., & Bates, D. W. (2010). Can electronic clinical documentation help prevent diagnostic errors? New England Journal of Medicine,362(12), 1066\u20131069.","journal-title":"New England Journal of Medicine"},{"issue":"6","key":"9431_CR51","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1001\/jamainternmed.2013.2777","volume":"173","author":"H Singh","year":"2013","unstructured":"Singh, H., Giardina, T. D., Meyer, A. N., Forjuoh, S. N., Reis, M. D., & Thomas, E. J. (2013). Types and origins of diagnostic errors in primary care settings. JAMA Internal Medicine,173(6), 418\u2013425.","journal-title":"JAMA Internal Medicine"},{"issue":"2\u20133","key":"9431_CR52","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1023\/A:1009962928226","volume":"2","author":"RK Srihari","year":"2000","unstructured":"Srihari, R. K., Zhang, Z., & Rao, A. (2000). Intelligent indexing and semantic retrieval of multimodal documents. Information Retrieval,2(2\u20133), 245\u2013275.","journal-title":"Information Retrieval"},{"issue":"8","key":"9431_CR53","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1016\/j.knosys.2008.04.005","volume":"21","author":"AG Tapeh","year":"2008","unstructured":"Tapeh, A. G., & Rahgozar, M. (2008). A knowledge-based question answering system for B2C eCommerce. Knowledge-Based Systems,21(8), 946\u2013950.","journal-title":"Knowledge-Based Systems"},{"issue":"8","key":"9431_CR54","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1001\/jamainternmed.2017.1548","volume":"177","author":"MD Wang","year":"2017","unstructured":"Wang, M. D., Khanna, R., & Najafi, N. (2017a). Characterizing the source of text in electronic health record progress notes. JAMA Internal Medicine,177(8), 1212\u20131213.","journal-title":"JAMA Internal Medicine"},{"key":"9431_CR55","doi-asserted-by":"crossref","unstructured":"Wang, Y., Liu, S., Afzal, N., Rastegar-Mojarad, M., Wang, L., Shen, F., et al. (2018a). A comparison of word embeddings for the biomedical natural language processing. arXiv preprint arXiv:1802.00400 .","DOI":"10.1016\/j.jbi.2018.09.008"},{"key":"9431_CR56","doi-asserted-by":"crossref","unstructured":"Wang, Y., Rastegar-Mojarad, M., Komandur-Elayavilli, R., & Liu, H. (2017). Leveraging word embeddings and medical entity extraction for biomedical dataset retrieval using unstructured texts. Database.","DOI":"10.1093\/database\/bax091"},{"key":"9431_CR57","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.jbi.2017.11.011","volume":"77","author":"Y Wang","year":"2018","unstructured":"Wang, Y., Wang, L., Rastegar-Mojarad, M., Moon, S., Shen, F., Afzal, N., et al. (2018b). Clinical information extraction applications: A literature review. Journal of Biomedical Informatics,77, 34\u201349.","journal-title":"Journal of Biomedical Informatics"},{"key":"9431_CR58","unstructured":"Wieting, J., & Gimpel, K. (2017). Revisiting recurrent networks for paraphrastic sentence embeddings. arXiv preprint arXiv:1705.00364 ."},{"issue":"3","key":"9431_CR59","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1377\/hlthaff.2011.1314","volume":"31","author":"C Williams","year":"2012","unstructured":"Williams, C., Mostashari, F., Mertz, K., Hogin, E., & Atwal, P. (2012). From the Office of the National Coordinator: The strategy for advancing the exchange of health information. Health Aff (Millwood),31(3), 527\u2013536.","journal-title":"Health Aff (Millwood)"},{"issue":"1","key":"9431_CR60","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1197\/jamia.M3390","volume":"17","author":"JO Wrenn","year":"2010","unstructured":"Wrenn, J. O., Stein, D. M., Bakken, S., & Stetson, P. D. (2010). Quantifying clinical narrative redundancy in an electronic health record. Journal of the American Medical Informatics Association,17(1), 49\u201353.","journal-title":"Journal of the American Medical Informatics Association"},{"issue":"e1","key":"9431_CR61","doi-asserted-by":"publisher","first-page":"e149","DOI":"10.1136\/amiajnl-2011-000744","volume":"19","author":"ST Wu","year":"2012","unstructured":"Wu, S. T., Liu, H., Li, D., Tao, C., Musen, M. A., Chute, C. G., et al. (2012). Unified Medical Language System term occurrences in clinical notes: A large-scale corpus analysis. Journal of the American Medical Informatics Association,19(e1), e149\u2013e156.","journal-title":"Journal of the American Medical Informatics Association"},{"key":"9431_CR62","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1155\/2015\/650527","volume":"2015","author":"Y Yan","year":"2015","unstructured":"Yan, Y., Yin, X.-C., Li, S., Yang, M., & Hao, H.-W. (2015). Learning document semantic representation with hybrid deep belief network. Computational Intelligence and Neuroscience,2015, 28.","journal-title":"Computational Intelligence and Neuroscience"},{"key":"9431_CR64","unstructured":"Zhang, R., Pakhomov, S., McInnes, B. T., & Melton, G. B. (2011). Evaluating measures of redundancy in clinical texts. In AMIA annual symposium proceedings. Bethesda: American Medical Informatics Association."},{"key":"9431_CR63","unstructured":"Zhang, R., Pakhomov, S. V., Lee, J. T., & Melton, G. B. (2014). Using language models to identify relevant new information in inpatient clinical notes. In AMIA annual symposium proceedings. Bethesda: American Medical Informatics Association."}],"container-title":["Language Resources and Evaluation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-018-9431-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10579-018-9431-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-018-9431-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,13]],"date-time":"2020-11-13T22:45:45Z","timestamp":1605307545000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10579-018-9431-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,24]]},"references-count":64,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["9431"],"URL":"https:\/\/doi.org\/10.1007\/s10579-018-9431-1","relation":{},"ISSN":["1574-020X","1574-0218"],"issn-type":[{"value":"1574-020X","type":"print"},{"value":"1574-0218","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,24]]},"assertion":[{"value":"24 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}