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Saif M. Mohammad

ACL 2026×2评测与基准数据与预训练检索与知识强化学习与后训练
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/3ACL 2026Poster· Natural Language Processing

Annotating Dimensions of Social Perception in Text: A Sentence-Level Dataset of Warmth and Competence

Mutaz Ayesh · Saif M. Mohammad · Nedjma Ousidhoum

摘要

Warmth (W) (often further broken down into Trust (T) and Sociability (S)) and Competence (C) are central dimensions along which people evaluate individuals and social groups (Fiske, 2018). While these constructs are well established in social psychology, they are only starting to get attention in...

评测与基准数据与预训练检索与知识OpenReview 项目页
作者位次 #16/16ACL 2026Poster· Natural Language Processing

D im ABSA : Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis

Lung-Hao Lee · Liang-Chih Yu · Natalia V Loukachevitch · Ilseyar Alimova · Alexander Panchenko · Tzu-Mi Lin · Zhe-Yu Xu · Jian-Yu Zhou · Guangmin Zheng · Jin Wang · Sharanya Awasthi · Jonas Becker · Jan Philip Wahle · Terry Ruas · Shamsuddeen Hassan Muhammad · Saif M. Mohammad

摘要

Aspect-Based Sentiment Analysis (ABSA) focuses on extracting sentiment at a fine-grained aspect level and has been widely applied across real-world domains. However, existing ABSA research relies on coarse-grained categorical labels (e.g., positive, negative), which limits its ability to capture...

强化学习与后训练评测与基准数据与预训练OpenReview 项目页

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