{"id":549,"date":"2020-12-12T11:02:00","date_gmt":"2020-12-12T03:02:00","guid":{"rendered":"http:\/\/140.115.70.194:6417\/?p=549"},"modified":"2024-11-09T19:18:41","modified_gmt":"2024-11-09T11:18:41","slug":"medication-mention-detection-in-tweets-using-electra-transformers-and-decision-trees","status":"publish","type":"post","link":"https:\/\/ainlp.tw\/index.php\/2020\/12\/12\/medication-mention-detection-in-tweets-using-electra-transformers-and-decision-trees\/","title":{"rendered":"Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees"},"content":{"rendered":"\n<p>Lung-Hao Lee, Po-Han Chen, Hao-Chuan Kao, Ting-Chun Hung, Po-Lei Lee and Kuo-Kai Shyu. <\/p>\n\n\n\n<p>In\u00a0<em>Proceedings of the 5th Social Media Mining for Health Applications<\/em>\u00a0(<em><strong>#SMM4H&#8217;20<\/strong><\/em>) Workshop and Shared Tasks, pages 131-133.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p style=\"font-size:clamp(14px, 0.875rem + ((1vw - 3.2px) * 0.156), 16px);\">This study describes our proposed model design for the SMM4H 2020 Task 1. We fine-tune ELECTRA transformers using our trained SVM filter for data augmentation, along with decision trees to detect medication mentions in tweets. Our best F1-score of 0.7578 exceeded the mean score 0.6646 of all 15 submitting teams.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Lung-Hao Lee, Po-Han Chen, Hao-Chuan Kao, Ting-Chun Hung, Po-Lei Lee and Kuo-Kai Shyu<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[6],"tags":[40,46,21],"class_list":["post-549","post","type-post","status-publish","format-standard","hentry","category-achievements","tag-40","tag-medicine","tag-smm4h"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/549","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/comments?post=549"}],"version-history":[{"count":3,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/549\/revisions"}],"predecessor-version":[{"id":811,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/549\/revisions\/811"}],"wp:attachment":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/media?parent=549"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/categories?post=549"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/tags?post=549"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}