Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers |
| Editors | Smaranda Muresan, Preslav Nakov, Aline Villavicencio |
| Pages | 4459 - 4471 |
| Number of pages | 13 |
| ISBN (electronic) | 9781955917216 |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022 - Dublin, Ireland Duration: 22 May 2022 → 27 May 2022 |
Publication series
| Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
|---|---|
| Volume | 1 |
| ISSN (Print) | 0736-587X |
Abstract
This paper studies the (often implicit) human values behind natural language arguments, such as to have freedom of thought or to be broadminded. Values are commonly accepted answers to why some option is desirable in the ethical sense and are thus essential both in real-world argumentation and theoretical argumentation frameworks. However, their large variety has been a major obstacle to modeling them in argument mining. To overcome this obstacle, we contribute an operationalization of human values, namely a multi-level taxonomy with 54 values that is in line with psychological research. Moreover, we provide a dataset of 5270 arguments from four geographical cultures, manually annotated for human values. First experiments with the automatic classification of human values are promising, with F1-scores up to 0.81 and 0.25 on average.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Social Sciences(all)
- Linguistics and Language
- Arts and Humanities(all)
- Language and Linguistics
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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers. ed. / Smaranda Muresan; Preslav Nakov; Aline Villavicencio. 2022. p. 4459 - 4471 (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 1).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Identifying the Human Values behind Arguments
AU - Kiesel, Johannes
AU - Alshomary, Milad
AU - Handke, Nicolas
AU - Cai, Xiaoni
AU - Wachsmuth, Henning
AU - Stein, Benno
N1 - Publisher Copyright: © 2022 Association for Computational Linguistics.
PY - 2022
Y1 - 2022
N2 - This paper studies the (often implicit) human values behind natural language arguments, such as to have freedom of thought or to be broadminded. Values are commonly accepted answers to why some option is desirable in the ethical sense and are thus essential both in real-world argumentation and theoretical argumentation frameworks. However, their large variety has been a major obstacle to modeling them in argument mining. To overcome this obstacle, we contribute an operationalization of human values, namely a multi-level taxonomy with 54 values that is in line with psychological research. Moreover, we provide a dataset of 5270 arguments from four geographical cultures, manually annotated for human values. First experiments with the automatic classification of human values are promising, with F1-scores up to 0.81 and 0.25 on average.
AB - This paper studies the (often implicit) human values behind natural language arguments, such as to have freedom of thought or to be broadminded. Values are commonly accepted answers to why some option is desirable in the ethical sense and are thus essential both in real-world argumentation and theoretical argumentation frameworks. However, their large variety has been a major obstacle to modeling them in argument mining. To overcome this obstacle, we contribute an operationalization of human values, namely a multi-level taxonomy with 54 values that is in line with psychological research. Moreover, we provide a dataset of 5270 arguments from four geographical cultures, manually annotated for human values. First experiments with the automatic classification of human values are promising, with F1-scores up to 0.81 and 0.25 on average.
UR - http://www.scopus.com/inward/record.url?scp=85148278136&partnerID=8YFLogxK
U2 - 10.18653/v1/2022.acl-long.306
DO - 10.18653/v1/2022.acl-long.306
M3 - Conference contribution
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 4459
EP - 4471
BT - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics Volume 1: Long Papers
A2 - Muresan, Smaranda
A2 - Nakov, Preslav
A2 - Villavicencio, Aline
T2 - 60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
Y2 - 22 May 2022 through 27 May 2022
ER -