SemEval-2023 Task 4: ValueEval
Identification of Human Values Behind Arguments
Abstract
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.
Details
- Organisationseinheit(en)
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Fachgebiet Maschinelle Sprachverarbeitung
- Externe Organisation(en)
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Bauhaus-Universität Weimar
Universität Leipzig
- Typ
- Aufsatz in Konferenzband
- Seiten
- 2287-2303
- Anzahl der Seiten
- 17
- Publikationsdatum
- 07.2023
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Theoretische Informatik, Angewandte Informatik, Theoretische Informatik und Mathematik
- Elektronische Version(en)
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https://doi.org/10.18653/V1/2023.SEMEVAL-1.313 (Zugang:
Offen
)
