Argument Quality Assessment in the Age of Instruction-Following Large Language Models
The computational treatment of arguments on controversial issues has been subject to
extensive NLP research, due to its envisioned impact on opinion formation, decision making …
extensive NLP research, due to its envisioned impact on opinion formation, decision making …
Overview of the finnlp-2022 erai task: Evaluating the rationales of amateur investors
This paper provides an overview of the shared task, Evaluating the Rationales of Amateur
Investors (ERAI), in FinNLP-2022 at EMNLP-2022. This shared task aims to sort out …
Investors (ERAI), in FinNLP-2022 at EMNLP-2022. This shared task aims to sort out …
Let's discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality Assessment
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 …
over the last ten years. Various quality dimensions have been explored through the creation …
Contextualizing argument quality assessment with relevant knowledge
Automatic assessment of the quality of arguments has been recognized as a challenging
task with significant implications for misinformation and targeted speech. While real-world …
task with significant implications for misinformation and targeted speech. While real-world …
VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It
Online courses have significantly lowered the barrier to accessing education, yet the varying
content quality of these videos poses challenges. In this work, we focus on the task of …
content quality of these videos poses challenges. In this work, we focus on the task of …