Publication Details

SemEval-2023 Task 4: ValueEval

Identification of Human Values Behind Arguments

authored by
Johannes Kiesel, Milad Alshomary, Nailia Mirzakhmedova, Maximilian Heinrich, Nicolas Handke, Henning Wachsmuth, Benno Stein

Argumentation is ubiquitous in natural language communication, from politics and media to everyday work and private life. Many arguments derive their persuasive power from human values, such as self-directed thought or tolerance, albeit often implicitly. These values are key to understanding the semantics of arguments, as they are generally accepted as justifications for why a particular option is ethically desirable. Can automated systems uncover the values on which an argument draws? To answer this question, 39 teams submitted runs to ValueEval’23. Using a multi-sourced dataset of over 9K arguments, the systems achieved F

1-scores up to 0.87 (nature) and over 0.70 for three more of 20 universal value categories. However, many challenges remain, as evidenced by the low peak F

1-score of 0.39 for stimulation, hedonism, face, and humility.

Natural Language Processing Section
External Organisation(s)
Bauhaus-Universität Weimar
Leipzig University
Conference contribution
No. of pages
Publication date
Publication status
Peer reviewed
ASJC Scopus subject areas
Theoretical Computer Science, Computer Science Applications, Computational Theory and Mathematics
Electronic version(s) (Access: Open)