{"id":744,"date":"2024-08-15T18:53:00","date_gmt":"2024-08-15T10:53:00","guid":{"rendered":"https:\/\/ainlp.tw\/?p=744"},"modified":"2024-11-09T18:51:08","modified_gmt":"2024-11-09T10:51:08","slug":"exalt-2024","status":"publish","type":"post","link":"https:\/\/ainlp.tw\/index.php\/2024\/08\/15\/exalt-2024\/","title":{"rendered":"NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection"},"content":{"rendered":"\n<p>Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, and\u00a0Lung-Hao Lee. <\/p>\n\n\n\n<p>In\u00a0<em>Proceedings of 14th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis<\/em>\u00a0(<strong><em>WASSA&#8217;24<\/em><\/strong>), pages 505-510.<\/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>This study describes the model design of the NYCU-NLP system for the EXALT shared task at the WASSA 2024 workshop. We instruction-tune several large language models and then assemble various model combinations as our main system architecture for cross-lingual emotion and trigger detection in tweets. Experimental results showed that our best performing submission is an assembly of the Starling (7B) and Llama 3 (8B) models. Our submission was ranked sixth of 17 participating systems for the emotion detection subtask, and fifth of 7 systems for the binary trigger detection subtask.<\/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 size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"860\" height=\"568\" src=\"https:\/\/ainlp.tw\/wp-content\/uploads\/2024\/09\/\u622a\u5716-2024-09-04-\u4e0b\u53486.57.39.png\" alt=\"\" class=\"wp-image-745\"\/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, and\u00a0Lung-Hao Lee<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[6],"tags":[33,43,15],"class_list":["post-744","post","type-post","status-publish","format-standard","hentry","category-achievements","tag-33","tag-emotion","tag-wassa"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/744","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=744"}],"version-history":[{"count":2,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/744\/revisions"}],"predecessor-version":[{"id":767,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/744\/revisions\/767"}],"wp:attachment":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/media?parent=744"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/categories?post=744"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/tags?post=744"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}