{"id":1019,"date":"2025-11-20T11:15:00","date_gmt":"2025-11-20T03:15:00","guid":{"rendered":"https:\/\/ainlp.tw\/?p=1019"},"modified":"2026-01-12T14:05:47","modified_gmt":"2026-01-12T06:05:47","slug":"rocling-2025-shared-task-chinese-dimensional-sentiment-analysis-for-medical-self-reflection-texts","status":"publish","type":"post","link":"https:\/\/ainlp.tw\/index.php\/2025\/11\/20\/rocling-2025-shared-task-chinese-dimensional-sentiment-analysis-for-medical-self-reflection-texts\/","title":{"rendered":"ROCLING-2025 Shared Task:\u00a0Chinese Dimensional Sentiment Analysis for Medical Self-Reflection Texts"},"content":{"rendered":"\n<p>Lung-Hao Lee, Tzu-Mi Lin, Hsiu-Min Shih, Kuo-Kai Shyu, Anna S. Hsu, and Peih-Ying Lu.<\/p>\n\n\n\n<p>In <em>Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)<\/em>, pages 375-380.<\/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 paper describes the ROCLING-2025 shared task aimed at Chinese dimensional sentiment analysis for medical self-refection texts, including task organization, data preparation, performance metrics, and evaluation results. A total of six participating teams submitted results for techniques developed for valence-arousal intensity prediction. All datasets with gold standards and evaluation scripts used in this shared task are publicly available online for further research.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1118\" height=\"648\" src=\"https:\/\/ainlp.tw\/wp-content\/uploads\/2026\/01\/Rocling-2025.png\" alt=\"\" class=\"wp-image-1020\"\/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Lung-Hao Lee, Tzu-Mi Lin, Hsiu-Min Shih, Kuo-Kai Shyu, Anna S. Hsu, and Peih-Ying Lu.<\/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":[48,43,13],"class_list":["post-1019","post","type-post","status-publish","format-standard","hentry","category-achievements","tag-48","tag-emotion","tag-rocling"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/1019","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=1019"}],"version-history":[{"count":2,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/1019\/revisions"}],"predecessor-version":[{"id":1022,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/1019\/revisions\/1022"}],"wp:attachment":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/media?parent=1019"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/categories?post=1019"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/tags?post=1019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}