@inproceedings{kiesel-etal-2023-semeval,
title = "{S}em{E}val-2023 Task 4: {V}alue{E}val: Identification of Human Values Behind Arguments",
author = "Kiesel, Johannes and
Alshomary, Milad and
Mirzakhmedova, Nailia and
Heinrich, Maximilian and
Handke, Nicolas and
Wachsmuth, Henning and
Stein, Benno",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.313",
doi = "10.18653/v1/2023.semeval-1.313",
pages = "2287--2303",
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 F1-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 F1-score of 0.39 for stimulation, hedonism, face, and humility.",
}
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<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 F1-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 F1-score of 0.39 for stimulation, hedonism, face, and humility.</abstract>
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%0 Conference Proceedings
%T SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments
%A Kiesel, Johannes
%A Alshomary, Milad
%A Mirzakhmedova, Nailia
%A Heinrich, Maximilian
%A Handke, Nicolas
%A Wachsmuth, Henning
%A Stein, Benno
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F kiesel-etal-2023-semeval
%X 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 F1-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 F1-score of 0.39 for stimulation, hedonism, face, and humility.
%R 10.18653/v1/2023.semeval-1.313
%U https://aclanthology.org/2023.semeval-1.313
%U https://doi.org/10.18653/v1/2023.semeval-1.313
%P 2287-2303
Markdown (Informal)
[SemEval-2023 Task 4: ValueEval: Identification of Human Values Behind Arguments](https://aclanthology.org/2023.semeval-1.313) (Kiesel et al., SemEval 2023)
ACL