22 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
Are Large Language Models Reliable Argument Quality Annotators?
Nailia Mirzakhmedova, Marcel Gohsen, Chia Hao Chang +1
Evaluating the quality of arguments is a crucial aspect of any system leveraging argument mining. However, it is a challenge to obtain reliable and consistent annotations regarding…
cs.CL2023★ 22 cited
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments
Nailia Mirzakhmedova, Johannes Kiesel, Milad Alshomary +11
We present the Touché23-ValueEval Dataset for Identifying Human Values behind Arguments. To investigate approaches for the automated detection of human values behind arguments, we…