The generalizability of argument quality dimensions in NLP models

This research revolves around measuring the quality of arguments. High-quality arguments help in improving political discussions, resulting in better decision-making. Wachsmuth et al. developed a taxonomy breaking down argument quality into several dimensions. This work makes use of that taxonomy and combines it with modern NLP models. A cross...

Using NLP to build causal maps from emissions trading policy analysis literature: A more comprehensive means of analysis

Despite their best intentions, policy interventions often fail to adequately address the challenges they were designed to tackle. Disparities in scope, taxonomy and performance perspectives employed by different policy studies, make it difficult to obtain a system perspective of the policy effects of a certain domain. Additionally, a...