Identifying the Human Values behind Arguments

Identifying the Human Values behind Arguments
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识别争论背后的人类价值观

DOI:
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发表时间:
2022
期刊:
Annual Meeting of the Association for Computational Linguistics
影响因子:
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通讯作者:
Milad Alshomary
Milad Alshomary
中科院分区:
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文献类型:
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作者:
Johannes Kiesel;Milad Alshomary

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本文研究了自然语言论证背后的(通常是隐含的)人类价值观,如思想自由或心胸宽广。价值观是人们普遍接受的答案,说明为什么某些选项在伦理意义上是可取的,因此在现实世界的论证和理论论证框架中都是必不可少的。然而,它们的多样性一直是在参数挖掘中对其建模的主要障碍。为了克服这一障碍,我们贡献了一个可操作的人类价值观,即一个多层次的分类与54个价值观,是符合心理学研究。此外,我们提供了一个数据集的5270个参数,从四个地理文化,人工注释的人类价值观。第一个实验与人类价值观的自动分类是有希望的,与F_1-分数高达0.81和0.25的平均值。
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 F_1-scores up to 0.81 and 0.25 on average.
DOI: --
发表时间: 2016
期刊: Proceedings of the Annual Meeting of the Association for Computational Linguistics
影响因子: --
作者:
Egan C.
通讯作者: Egan C.