{"id":2445,"date":"2022-04-20T06:44:00","date_gmt":"2022-04-20T06:44:00","guid":{"rendered":"https:\/\/medgift.hevs.ch\/wordpress\/?p=2445"},"modified":"2022-04-20T06:44:01","modified_gmt":"2022-04-20T06:44:01","slug":"paper-accepted-at-the-bionlp-workshop-at-acl-2022","status":"publish","type":"post","link":"https:\/\/medgift.hevs.ch\/wordpress\/paper-accepted-at-the-bionlp-workshop-at-acl-2022\/","title":{"rendered":"Paper accepted at the BioNLP workshop at ACL 2022"},"content":{"rendered":"\n<p>Our paper &#8220;DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature&#8221;, by A. Dhrangadhariya and H. M\u00fcller is accepted for presentation at the BioNLP workshop at ACL2022 (Dublin, 22-27 May).<\/p>\n\n\n\n<p>The paper takes strides toward democratizing entity\/span level PICO recognition by automatically creating a large entity annotated dataset using open-access resources. PICO extraction is a vital but tiring process for writing systematic reviews. <\/p>\n\n\n\n<p>The approach uses gestalt pattern matching and a modified version of the match scoring to flexibly align structured terms from <a rel=\"noreferrer noopener\" href=\"https:\/\/t.co\/WujcWDXEwe\" target=\"_blank\">http:\/\/clinicaltrials.gov<\/a> onto the unstructured text and select high-confidence match candidates. <\/p>\n\n\n\n<p>The method is extensible and data-centric which allows for constant extension of the dataset, and for optimization of the automatic annotation method for the recall-oriented PICO recognition.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"674\" src=\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2022\/04\/FPfr2KsWQAgxCqJ-1024x674.jpeg\" alt=\"\" class=\"wp-image-2446\" srcset=\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2022\/04\/FPfr2KsWQAgxCqJ-1024x674.jpeg 1024w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2022\/04\/FPfr2KsWQAgxCqJ-300x197.jpeg 300w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2022\/04\/FPfr2KsWQAgxCqJ-768x505.jpeg 768w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2022\/04\/FPfr2KsWQAgxCqJ-1536x1010.jpeg 1536w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2022\/04\/FPfr2KsWQAgxCqJ-2048x1347.jpeg 2048w\" sizes=\"auto, (max-width: 706px) 89vw, (max-width: 767px) 82vw, 740px\" \/><figcaption>Overview of the proposed DISTANT-CTO method<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our paper &#8220;DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature&#8221;, by A. Dhrangadhariya and H. M\u00fcller is accepted for presentation at the BioNLP workshop at ACL2022 (Dublin, 22-27 May). The paper takes strides toward democratizing entity\/span level PICO recognition by automatically creating a large entity annotated dataset &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/medgift.hevs.ch\/wordpress\/paper-accepted-at-the-bionlp-workshop-at-acl-2022\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Paper accepted at the BioNLP workshop at ACL 2022&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2445","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p8AP2d-Dr","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts\/2445","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/comments?post=2445"}],"version-history":[{"count":1,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts\/2445\/revisions"}],"predecessor-version":[{"id":2447,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/posts\/2445\/revisions\/2447"}],"wp:attachment":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/media?parent=2445"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/categories?post=2445"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/tags?post=2445"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}