{"id":3994,"date":"2019-09-19T12:49:55","date_gmt":"2019-09-19T12:49:55","guid":{"rendered":"http:\/\/temu.bsc.es\/meddocan\/?p=3994"},"modified":"2019-10-03T18:01:36","modified_gmt":"2019-10-03T16:01:36","slug":"publications","status":"publish","type":"post","link":"https:\/\/temu.bsc.es\/meddocan\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<h3>Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019)<\/h3>\n\n\n\n<h4><strong>Overview Paper<\/strong><\/h4>\n\n\n\n<ul class=\"custom-background\"><li><a href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_overview.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results<\/a><br><em>Montserrat Marimon<\/em>,\u00a0<em>Aitor Gonzalez-Agirre<\/em>,\u00a0<em>Ander Intxaurrondo<\/em>,\u00a0<em>Heidy Rodr\u00edguez<\/em>,\u00a0<em>Jose Lopez Martin<\/em>,\u00a0<em>Marta Villegas<\/em>,\u00a0<em>Martin Krallinger<\/em><\/li><\/ul>\n\n\n\n<h4><strong>Participants Papers<\/strong><\/h4>\n\n\n\n<ul><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_1.pdf\" target=\"_blank\">Spanish Medical Document Anonymization with Three-channel Convolutional Neural Networks<\/a><br><em>Jordi Porta-Zamorano<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_2.pdf\" target=\"_blank\">Anonymization of Sensitive Information in Medical Health Records<\/a><br><em>Bhavna Saluja<\/em>,\u00a0<em>Gaurav Kumar<\/em>,\u00a0<em>Jo\u00e3o Sedoc<\/em>,\u00a0<em>Chris Callison-Burch<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_3.pdf\" target=\"_blank\">VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks<\/a><br><em>V\u00edctor Su\u00e1rez-Paniagua<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_4.pdf\" target=\"_blank\">De-Identification through Named Entity Recognition for Medical Document Anonymization<\/a><br><em>Hermenegildo Fabregat<\/em>,\u00a0<em>Andres Duque<\/em>,\u00a0<em>Juan Martinez-Romo<\/em>,\u00a0<em>Lourdes Araujo<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_5.pdf\" target=\"_blank\">NLNDE: The Neither-Language-Nor-Domain-Experts&#8217; Way of Spanish Medical Document De-Identification<\/a><br><em>Lukas Lange<\/em>,\u00a0<em>Heike Adel<\/em>,\u00a0<em>Jannik Str\u00f6tgen<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_6.pdf\" target=\"_blank\">Protected Health Information Recognition by BiLSTM-CRF<\/a><br><em>Crist\u00f3bal Col\u00f3n-Ruiz<\/em>,\u00a0<em>Isabel Segura-Bedmar<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_7.pdf\" target=\"_blank\">Anonymization of Clinical Reports in Spanish: a Hybrid Method Based on Machine Learning and Rules<\/a><br><em>Pilar L\u00f3pez- \u00dabeda<\/em>,\u00a0<em>Manuel D\u00edaz-Galiano<\/em>,\u00a0<em>Luis Alfonso Ure\u00f1a-L\u00f3pez<\/em>,\u00a0<em>Mar\u00eda-Teresa Mart\u00edn-Valdivia<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_8.pdf\" target=\"_blank\">Vicomtech at MEDDOCAN: Medical Document Anonymization<\/a><br><em>Naiara Perez<\/em>,\u00a0<em>Laura Garc\u00eda-Sardi\u00f1a<\/em>,\u00a0<em>Manex Serras<\/em>,\u00a0<em>Arantza Del Pozo<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_9.pdf\" target=\"_blank\">Resource-Based Anonymization for Spanish Clinical Cases<\/a><br><em>Fernando S\u00e1nchez-Le\u00f3n<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_10.pdf\" target=\"_blank\">E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural Networks<\/a><br><em>Mohammed Jabreel<\/em>,\u00a0<em>Fadi Hassan<\/em>,\u00a0<em>Najlaa Maarrof<\/em>,\u00a0<em>David S\u00e1nchez<\/em>,\u00a0<em>Josep Domingo-Ferrer<\/em>,\u00a0<em>Antonio Moreno<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_11.pdf\" target=\"_blank\">Hadoken: a BERT-CRF Model for Medical Document Anonymization<\/a><br><em>Jihang Mao<\/em>,\u00a0<em>Wanli Liu<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_12.pdf\" target=\"_blank\">ReCRF: Spanish Medical Document Anonymization using Automatically-crafted Rules and CRF<\/a><br><em>Fadi Hassan<\/em>,\u00a0<em>Mohammed Jabreel<\/em>,\u00a0<em>Najlaa Maarrof<\/em>,\u00a0<em>David S\u00e1nchez<\/em>,\u00a0<em>Josep Domingo-Ferrer<\/em>,\u00a0<em>Antonio Moreno<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_13.pdf\" target=\"_blank\">A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection<\/a><br><em>Mohammad Golam Sohrab<\/em>,\u00a0<em>Pham Minh Thang<\/em>,\u00a0<em>Makoto Miwa<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_14.pdf\" target=\"_blank\">Window Classifiers and Conditional Random Fields for Medical Report De-Identification<\/a><br><em>Viviana Cotik<\/em>,\u00a0<em>Franco Luque<\/em>,\u00a0<em>Juan Manuel P\u00e9rez<\/em><\/li><li><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_15.pdf\" target=\"_blank\">Key Phrases Annotation in Medical Documents: MEDDOCAN 2019 Anonymization Task<\/a><br><em>Alicia Lara-Clares<\/em>,\u00a0<em>Ana Garcia-Serrano<\/em><\/li><li><a href=\"http:\/\/ceur-ws.org\/Vol-2421\/MEDDOCAN_paper_16.pdf\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">A Deep Learning-Based System for the MEDDOCAN Task<\/a><br><em>Dehuan Jiang<\/em>,\u00a0<em>Yedan Shen<\/em>,\u00a0<em>Shuai Chen<\/em>,\u00a0<em>Buzhou Tang<\/em>,\u00a0<em>Xiaolong Wang<\/em>,\u00a0<em>Qingcai Chen<\/em>,\u00a0<em>Ruifeng Xu<\/em>,\u00a0<em>Jun Yan<\/em>,\u00a0<em>Yi Zhou<\/em><\/li><\/ul>\n\n\n\n<h3>MEDDOCAN Publications<\/h3>\n\n\n\n<p>All teams sending a test set prediction submission will be invited to send a workshop proceedings paper on their system (systems description paper),\u00a0similarly to previous\u00a0<em>IberEval<\/em>\u00a0events. It is not mandatory to assist to the workshop, but we encourage very much attendance.\u00a0You can send both submissions and the workshop proceedings paper without attending the workshop.<\/p>\n\n\n\n<p>We will invite MEDDOCAN participants to give a short flash presentation of their system at the workshop.\u00a0Additionally, top scoring teams will have the opportunity to give a longer presentation at the workshop.<\/p>\n\n\n\n<p>We plan to<strong>\u00a0invite selected works\u00a0<\/strong>for full publication in a\u00a0<strong>Q1 Journal \u2013 Special Issue devoted to MEDDOCAN<\/strong>.\u00a0Invitation to the special issue will consider multiple aspects such as performance,\u00a0novelty\u00a0of the system, availability\u00a0of the underlying system (software\/web-service) as well as the workshop presentation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019) Overview Paper Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of ResultsMontserrat Marimon,\u00a0Aitor Gonzalez-Agirre,\u00a0Ander Intxaurrondo,\u00a0Heidy Rodr\u00edguez,\u00a0Jose Lopez Martin,\u00a0Marta Villegas,\u00a0Martin Krallinger Participants Papers Spanish Medical Document Anonymization with Three-channel Convolutional Neural NetworksJordi Porta-Zamorano Anonymization of Sensitive Information in Medical Health [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/posts\/3994"}],"collection":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/comments?post=3994"}],"version-history":[{"count":6,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/posts\/3994\/revisions"}],"predecessor-version":[{"id":4155,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/posts\/3994\/revisions\/4155"}],"wp:attachment":[{"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/media?parent=3994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/categories?post=3994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/temu.bsc.es\/meddocan\/index.php\/wp-json\/wp\/v2\/tags?post=3994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}