Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment
Rositsa V Ivanova, Thomas Huber, Christina Niklaus · 2024
Research in the computational assessment of Argumentation Quality has gained popularity over the last ten years.Various quality dimensions have been explored through the creation of domain-specific datasets and assessment methods.We survey the related literature (211 publications and 32 datasets), while addressing potential overlaps and blurry boundaries to related domains.This paper provides a representative overview of the state of the art in Computational Argument Quality Assessment with a focus on annotated datasets.The aim of the survey is to identify research gaps and to aid future discussions and work in the domain.