{"id":559,"date":"2019-08-01T11:17:00","date_gmt":"2019-08-01T03:17:00","guid":{"rendered":"http:\/\/140.115.70.194:6417\/?p=559"},"modified":"2024-11-09T19:12:55","modified_gmt":"2024-11-09T11:12:55","slug":"ncuee-at-mediqa-2019-medical-text-inference-using-ensemble-bert-bilstm-attention-model","status":"publish","type":"post","link":"https:\/\/ainlp.tw\/index.php\/2019\/08\/01\/ncuee-at-mediqa-2019-medical-text-inference-using-ensemble-bert-bilstm-attention-model\/","title":{"rendered":"NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model"},"content":{"rendered":"\n<p>Lung-Hao Lee, Yi Lu, Po-Han Chen, Po-Lei Lee, and Kuo-Kai Shyu. <\/p>\n\n\n\n<p>In\u00a0<em>Proceedings\u00a0of the 18th Workshop on Biomedical Natural Language Processing<\/em>\u00a0(<em><strong>BioNLP&#8217;19<\/strong><\/em>), pages 528-532.<\/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 the model design of the NCUEE system for the MEDIQA challenge at the ACL-BioNLP 2019 workshop. We use the BERT (Bidirectional Encoder Representations from Transformers) as the word embedding method to integrate the BiLSTM (Bidirectional Long Short-Term Memory) network with an attention mechanism for medical text inferences. A total of 42 teams participated in natural language inference task at MEDIQA 2019. Our best accuracy score of 0.84 ranked the top-third among all submissions in the leaderboard.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"490\" src=\"http:\/\/140.115.70.194:6417\/wp-content\/uploads\/2023\/12\/\u622a\u5716-2023-12-30-\u4e0a\u534811.18.37-1024x490.png\" alt=\"\" class=\"wp-image-560\" srcset=\"https:\/\/ainlp.tw\/wp-content\/uploads\/2023\/12\/\u622a\u5716-2023-12-30-\u4e0a\u534811.18.37-1024x490.png 1024w, https:\/\/ainlp.tw\/wp-content\/uploads\/2023\/12\/\u622a\u5716-2023-12-30-\u4e0a\u534811.18.37-300x144.png 300w, https:\/\/ainlp.tw\/wp-content\/uploads\/2023\/12\/\u622a\u5716-2023-12-30-\u4e0a\u534811.18.37-768x368.png 768w, https:\/\/ainlp.tw\/wp-content\/uploads\/2023\/12\/\u622a\u5716-2023-12-30-\u4e0a\u534811.18.37-1536x736.png 1536w, https:\/\/ainlp.tw\/wp-content\/uploads\/2023\/12\/\u622a\u5716-2023-12-30-\u4e0a\u534811.18.37.png 1658w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Lung-Hao Lee, Yi Lu, Po-Han Chen, 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":[41,16,46],"class_list":["post-559","post","type-post","status-publish","format-standard","hentry","category-achievements","tag-41","tag-bionlp","tag-medicine"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/559","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=559"}],"version-history":[{"count":2,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/559\/revisions"}],"predecessor-version":[{"id":821,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/559\/revisions\/821"}],"wp:attachment":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/media?parent=559"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/categories?post=559"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/tags?post=559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}