Work

Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment

Year: 2024

Type: conference-paper

Abstract: 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.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/2024.emnlp-main.1155

Authors: Rositsa V Ivanova, Thomas Huber, Christina Niklaus

Institution: University of St.Gallen

Language: English

Topic: Multi-Agent Systems and Negotiation

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4404782701

FWCI: 1.155

Cites:

Cited by: 4

Related to: 10