{"id":989,"date":"2026-07-03T14:10:00","date_gmt":"2026-07-03T06:10:00","guid":{"rendered":"https:\/\/ainlp.tw\/?p=989"},"modified":"2026-07-24T13:25:30","modified_gmt":"2026-07-24T05:25:30","slug":"semeval-2026-task-3-dimensional-aspect-based-sentiment-analysis-dimabsa","status":"publish","type":"post","link":"https:\/\/ainlp.tw\/index.php\/semeval-2026-task-3-dimensional-aspect-based-sentiment-analysis-dimabsa\/","title":{"rendered":"SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Liang-Chih Yu,\u00a0Jonas Becker,\u00a0Shamsuddeen Hassan Muhammad,\u00a0Idris Abdulmumin,\u00a0Lung-Hao Lee,\u00a0Ying-Lung Lin,\u00a0Jin Wang,\u00a0Jan Philip Wahle,\u00a0Terry Lima Ruas,\u00a0Natalia Loukachevitch,\u00a0Alexander Panchenko,\u00a0Ilseyar Alimova,\u00a0Lilian Diana Awuor Wanzare,\u00a0Nelson Odhiambo,\u00a0Bela Gipp,\u00a0Kai-Wei Chang,\u00a0Saif Mohammad<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In\u00a0<em>Proceedings of The 20th International Workshop on Semantic Evaluation (SemEval-2026)<\/em>, pages 3753\u20133778.<\/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 wp-block-paragraph\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We present the SemEval-2026 shared task on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which improves traditional ABSA by modeling sentiment along valence\u2013arousal (VA) dimensions rather than using categorical polarity labels. To extend ABSA beyond consumer reviews to public-issue discourse (e.g., political, energy, and climate issues), we introduce an additional task, Dimensional Stance Analysis (DimStance), which treats stance targets as aspects and reformulates stance detection as regression in the VA space. The task consists of two tracks: Track A (DimABSA) and Track B (DimStance). Track A includes three subtasks: (1) dimensional aspect sentiment regression, (2) dimensional aspect sentiment triplet extraction, and (3) dimensional aspect sentiment quadruplet extraction, while Track B includes only the regression subtask for stance targets. We also introduce a continuous F1 (cF1) metric to jointly evaluate structured extraction and VA regression.The task attracted more than 400 participants, resulting in 112 final submissions and 42 system description papers. We report baseline results, discuss top-performing systems, and analyze key design choices to provide insights into dimensional sentiment analysis at the aspect and stance-target levels. All resources are available on our GitHub repository.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Liang-Chih Yu,\u00a0Jonas Becker,\u00a0Shamsuddeen Hassan Muhamma [&hellip;]<\/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":[49,43,17],"class_list":["post-989","post","type-post","status-publish","format-standard","hentry","category-achievements","tag-49","tag-emotion","tag-semeval"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/989","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=989"}],"version-history":[{"count":1,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/989\/revisions"}],"predecessor-version":[{"id":1234,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/posts\/989\/revisions\/1234"}],"wp:attachment":[{"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/media?parent=989"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/categories?post=989"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ainlp.tw\/index.php\/wp-json\/wp\/v2\/tags?post=989"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}