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SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays

Year: 2026

Type: conference-paper

Abstract: Nikita Soni, H. Andrew Schwartz, Ryan Boyd, Phi Long Bui, Syeda Mahwish, August Nilsson, Adithya V Ganesan, Lyle Ungar, Niranjan Balasubramanian, Saif Mohammad. Proceedings of the 20th International Workshop on Semantic Evaluation (2026). 2026.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2026.semeval-1.451

Authors: Nikita Soni, H. Andrew Schwartz, Ryan Boyd, Phi Long Bui, Syeda Mahwish, August Nilsson, Adithya V Ganesan, Lyle Ungar, Niranjan Balasubramanian, Saif Mohammad

Institutions: Stony Brook University, Vanderbilt University, The University of Texas at Dallas, Stanford University, Cornell University, OsloMet – Oslo Metropolitan University, University of Pennsylvania, National Research Council Canada

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Institutes of Health, Centers for Disease Control and Prevention, National Institute on Alcohol Abuse and Alcoholism, National Institute of Mental Health, National Institute for Occupational Safety and Health

Awards: G2107382664, DEVELOPING AND EVALUATING ARTIFICIAL INTELLIGENCE-BASED LONGITUDINAL ASSESSMENTS OF PTSD IN 9/11 RESPONDERS, Large-scale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant Workers

OpenAlex ID: W7166805097

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