{"id":2,"date":"2023-01-26T11:49:30","date_gmt":"2023-01-26T11:49:30","guid":{"rendered":"https:\/\/temu.bsc.es\/medprocner\/?page_id=2"},"modified":"2023-09-14T17:10:20","modified_gmt":"2023-09-14T15:10:20","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/temu.bsc.es\/medprocner\/","title":{"rendered":"MedProcNER Homepage"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">MedProcNER Shared Task Homepage<\/h1>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em><em>The MedProcNER Track  <em>is organized by the Barcelona Supercomputing Center\u2019s NLP for Biomedical Information Analysis group<\/em> <em>and promoted<\/em> by Spanish and European projects such as <a rel=\"noreferrer noopener\" href=\"https:\/\/www.plantl.gob.es\/Paginas\/index.aspx\" target=\"_blank\"><strong>Plan de Impulso de las Tecnolog\u00edas del Lenguaje (Plan TL)<\/strong><\/a><\/em>, <em>DataTools4Heart, AI4HF, BARITONE and AI4ProfHealth.<\/em><\/em><\/p>\n\n\n\n<p><\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">What is MedProcNER?<\/h2>\n\n\n\n<p><strong>MedProcNER<\/strong> stands for MEDical PROCedure Named Entity Recognition. It is a shared task and set of resources focused on the detection, normalization and indexing of clinical procedures in medical documents in Spanish.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"797\" src=\"https:\/\/temu.bsc.es\/medprocner\/wp-content\/uploads\/2023\/03\/figura_medprocner-1024x797.png\" alt=\"\" class=\"wp-image-188\" srcset=\"https:\/\/temu.bsc.es\/medprocner\/wp-content\/uploads\/2023\/03\/figura_medprocner-1024x797.png 1024w, https:\/\/temu.bsc.es\/medprocner\/wp-content\/uploads\/2023\/03\/figura_medprocner-300x233.png 300w, https:\/\/temu.bsc.es\/medprocner\/wp-content\/uploads\/2023\/03\/figura_medprocner-768x598.png 768w, https:\/\/temu.bsc.es\/medprocner\/wp-content\/uploads\/2023\/03\/figura_medprocner-1536x1196.png 1536w, https:\/\/temu.bsc.es\/medprocner\/wp-content\/uploads\/2023\/03\/figura_medprocner.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>For more information about the MedProcNER task, check the <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/task-info\/\" target=\"_blank\"><strong>Task Info<\/strong><\/a> tab, which includes the <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/motivation\/\" target=\"_blank\"><strong>Motivation<\/strong><\/a>, <strong><a href=\"https:\/\/temu.bsc.es\/medprocner\/subtasks\/\" target=\"_blank\" rel=\"noreferrer noopener\">Subtasks<\/a><\/strong>, <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/schedule\/\" target=\"_blank\">Schedule<\/a><\/strong>, <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/registration\/\" target=\"_blank\">Registration<\/a><\/strong> and <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/submission\/\" target=\"_blank\">Submission<\/a><\/strong> pages.<\/p>\n\n\n\n<p>To learn more about the MedProcNER corpus and how it was annotated, check the <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/data\/\" target=\"_blank\">Data<\/a><\/strong> tab, including the <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/corpus-description\/\" target=\"_blank\">Corpus Description<\/a><\/strong>, <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/annotation-guidelines\/\" target=\"_blank\"><strong>Annotation Guidelines<\/strong><\/a> (with example annotations and screenshots) and <strong><a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/downloads\/\" target=\"_blank\">Download<\/a><\/strong> pages.<\/p>\n\n\n\n<p>MedProcNER will be held as part of the <strong>BioASQ Workshop<\/strong> in the <strong>CLEF 2023<\/strong> conference. For more information about them, check the <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/medprocner\/workshop\/\" target=\"_blank\"><strong>Workshop<\/strong><\/a> tab.<\/p>\n\n\n\n<p>MedProcNER is organized by the Barcelona Supercomputing Center&#8217;s NLP for Biomedical Information Analysis group (formerly Text Mining Unit). <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Important information<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The complete MedProcNER dataset, as well as the SNOMED gazetteer, MeSH cross-mappings and Silver Standard multilingual version in 9 languages are now available in <a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.5281\/zenodo.7817745\" target=\"_blank\">Zenodo<\/a>.<\/li>\n\n\n\n<li>The BioASQ and MedProcNER overviews, as well as participant papers, are now available in the <a href=\"https:\/\/temu.bsc.es\/medprocner\/publications\/\">Publications<\/a> tab.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Related resources<\/h2>\n\n\n\n<p>At the NLP for Biomedical Information Analysis group (formerly Text Mining Unit), one of our missions is the open publication of datasets to train and benchmark biomedical information extraction, normalization and indexing systems. For that reason, we have released multiple datasets as part of shared tasks over the years. If you are interested in MedProcNER, you might want to take a look at some of our resources and competitions about:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Clinical content extraction: <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/distemist\/\" target=\"_blank\">DisTEMIST<\/a> (diseases), <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/cantemist\/\" target=\"_blank\">CANTEMIST<\/a> (tumour morphology), <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/codiesp\/\" target=\"_blank\">CodiEsp<\/a> (coding to ICD), <a href=\"https:\/\/temu.bsc.es\/pharmaconer\/\" target=\"_blank\" rel=\"noreferrer noopener\">PharmaCoNER<\/a> (chemicals and proteins)<\/li>\n\n\n\n<li>Sociodemographic content extraction: <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/meddoplace\/\" target=\"_blank\">MEDDOPLACE<\/a> (locations and more &#8212; new this year!) <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/meddocan\/\" target=\"_blank\">MEDDOCAN<\/a> (sensitive data), <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/meddoprof\/\" target=\"_blank\">MEDDOPROF<\/a> (occupations)<\/li>\n\n\n\n<li>Information extraction in social media: <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/socialdisner\/\" target=\"_blank\">SocialDisNER<\/a> (diseases), <a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/smm4h-spanish\/\" target=\"_blank\">ProfNER<\/a> (occupations)<\/li>\n\n\n\n<li>Linguistic aspects: <a href=\"https:\/\/temu.bsc.es\/BARR\/\" target=\"_blank\" rel=\"noreferrer noopener\">BARR1<\/a> and <a href=\"https:\/\/temu.bsc.es\/BARR2\/\" target=\"_blank\" rel=\"noreferrer noopener\">BARR2<\/a> (abbreviation resolution)<\/li>\n\n\n\n<li>Machine Translation: <a href=\"https:\/\/temu.bsc.es\/clinspen\/\" data-type=\"URL\" data-id=\"https:\/\/temu.bsc.es\/clinspen\/\" target=\"_blank\" rel=\"noreferrer noopener\">ClinSpEn<\/a> (EN&lt;-&gt;ES clinical content translation)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Schedule<\/h2>\n\n\n\n<table id=\"tablepress-1\" class=\"tablepress tablepress-id-1\">\n<thead>\n<tr class=\"row-1 odd\">\n\t<th class=\"column-1\">Event<\/th><th class=\"column-2\">Date (Midnight CEST)<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-hover\">\n<tr class=\"row-2 even\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.5281\/zenodo.7817666\"> MedProcNER Annotation Guidelines Release<\/a><\/td><td class=\"column-2\">February 2023<\/td>\n<\/tr>\n<tr class=\"row-3 odd\">\n\t<td class=\"column-1\"><a href=\"https:\/\/doi.org\/10.5281\/zenodo.7817745\"> MedProcNER Train Set Subtask 1 (NER) Release<\/a><\/td><td class=\"column-2\">April 11th 2023<\/td>\n<\/tr>\n<tr class=\"row-4 even\">\n\t<td class=\"column-1\"><a href=\"https:\/\/zenodo.org\/record\/7886453\">MedProcNER Train Set Subtask 2+3 (Norm+Indexing) Release<\/a><\/td><td class=\"column-2\">May 2nd 2023<\/td>\n<\/tr>\n<tr class=\"row-5 odd\">\n\t<td class=\"column-1\"><a href=\"https:\/\/zenodo.org\/record\/7886453\">MedProcNER Gazetteer Release<\/a><\/td><td class=\"column-2\">May 2nd 2023<br \/>\n<\/td>\n<\/tr>\n<tr class=\"row-6 even\">\n\t<td class=\"column-1\">MedProcNER Additional Dataset Release<\/td><td class=\"column-2\">TBD<br \/>\n<\/td>\n<\/tr>\n<tr class=\"row-7 odd\">\n\t<td class=\"column-1\"><a href=\"https:\/\/zenodo.org\/record\/7886453\">MedProcNER Test Set Release<\/a><\/td><td class=\"column-2\">May 2nd 2023<\/td>\n<\/tr>\n<tr class=\"row-8 even\">\n\t<td class=\"column-1\">Participant Test Predictions Deadline<br \/>\n<\/td><td class=\"column-2\">May 15th 2023 (\"Anywhere on Earth\")<\/td>\n<\/tr>\n<tr class=\"row-9 odd\">\n\t<td class=\"column-1\">Participant Evaluation Result Release<\/td><td class=\"column-2\">May 25th 2023<\/td>\n<\/tr>\n<tr class=\"row-10 even\">\n\t<td class=\"column-1\">Submission of Participant Papers Deadline<\/td><td class=\"column-2\">June 5th 2023<br \/>\n<\/td>\n<\/tr>\n<tr class=\"row-11 odd\">\n\t<td class=\"column-1\">Notification of Acceptance of Participant Papers<\/td><td class=\"column-2\">June 23rd 2023<br \/>\n<\/td>\n<\/tr>\n<tr class=\"row-12 even\">\n\t<td class=\"column-1\">Submission of Camera-ready Participant Papers Deadline<\/td><td class=\"column-2\">July 7th 2023<\/td>\n<\/tr>\n<tr class=\"row-13 odd\">\n\t<td class=\"column-1\">BioASQ @ CLEF2023<\/td><td class=\"column-2\">September 18th-21st 2023<br \/>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n","protected":false},"excerpt":{"rendered":"<p>MedProcNER Shared Task Homepage The MedProcNER Track is organized by the Barcelona Supercomputing Center\u2019s NLP for Biomedical Information Analysis group and promoted by Spanish and European projects such as Plan de Impulso de las Tecnolog\u00edas del Lenguaje (Plan TL), DataTools4Heart, AI4HF, BARITONE and AI4ProfHealth. What is MedProcNER? MedProcNER stands for MEDical PROCedure Named Entity Recognition. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":19,"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":250,"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/pages\/2\/revisions\/250"}],"wp:attachment":[{"href":"https:\/\/temu.bsc.es\/medprocner\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}