arXiv：cs.CL· Rasha Albalawi, Nuha Albadi, Hamzah Luqman, Asma Yamani, Maram Kurdi, Saad Ezzini, Ahmed Ashraf, Maged Al-Shaibani, Nora Alturayeif·· 4 小时前AI 评分33
StanceEval 2026：第二届立场检测共享任务
StanceEval 2026: The Second Stance Detection Shared Task
AI 导读
StanceEval 2026 是第二届阿拉伯语社交媒体立场检测共享任务，要求系统判断推文对给定目标持 Favor、Against 还是 None 立场，设 Track 1 主题相关跨目标迁移和 Track 2 完全未见目标跨域迁移两条赛道。
正文
Abstract:StanceEval 2026 is the second edition of the StanceEval shared task series on stance detection in Arabic social media text. Stance detection aims to identify a writer's stance toward a given topic. Given a tweet and a target, participating systems must determine whether the writer's stance is Favor, Against, or None. This edition focuses on cross-target generalization across two distinct evaluation tracks: Track 1 evaluates thematically related cross-target transfer (testing on Women Driving, related to Women Empowerment from training data), while Track 2 evaluates cross-domain transfer to completely unseen targets (E-Cars and Trimester System). The shared task attracted 80 registered teams from 12 countries. During the evaluation phase, 30 unique teams submitted entries, with 21 teams officially ranked in Track 1 and 13 in Track 2 following validation filtering, and 20 teams submitting system-description papers. Participating teams employed diverse methodologies, including fine-tuned pretrained language models, prompt-based and retrieval-augmented large language models (LLMs), fine-tuned LLMs, and hybrid cascades. Top systems achieved impressive $F_{avg2}$ scores of 0.8994 on Track 1 and 0.9400 on Track 2, substantially outperforming the strongest baselines (0.7366 and 0.7475, respectively), where $F_{avg2}$ denotes the macro-averaged F1 score over the Favor and Against classes. Counterintuitively, performance on the unseen targets was higher than on the related target, a disparity could be driven by extreme target polarization, class imbalance, and dialectal or sarcastic nuance across topics.
| Comments: | 14 pages total (8 pages main paper + 6 pages appendix), 5 tables in the main paper, excluding the appendix |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.03215 [cs.CL] |
| (or arXiv:2610.03215v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.03215 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Rasha Albalawi [view email]
[v1]
Fri, 2 Oct 2026 12:32:11 UTC (46 KB)
来源：arXiv：cs.CL · arxiv.org