The fields of both Natural Language Processing (NLP) and Automated Machi...
Optimizing the phrasing of argumentative text is crucial in higher educa...
Online discussion moderators must make ad-hoc decisions about whether th...
When asked, current large language models (LLMs) like ChatGPT claim that...
We present the Touché23-ValueEval Dataset for Identifying Human Values
b...
In real-world debates, the most common way to counter an argument is to
...
An optimal delivery of arguments is key to persuasion in any debate, bot...
News articles both shape and reflect public opinion across the political...
As AI is more and more pervasive in everyday life, humans have an increa...
An audience's prior beliefs and morals are strong indicators of how like...
The premises of an argument give evidence or other reasons to support a
...
Key point analysis is the task of extracting a set of concise and high-l...
Framing a news article means to portray the reported event from a specif...
Despite extensive research in the past years, the computational modeling...
The purpose of an argumentative text is to support a certain conclusion....
Text generation has received a lot of attention in computational
argumen...
Assessing the quality of arguments and of the claims the arguments are
c...
When engaging in argumentative discourse, skilled human debaters tailor
...
Social bias in language - towards genders, ethnicities, ages, and other
...
Debate portals and similar web platforms constitute one of the main text...
Several quality dimensions of natural language arguments have been
inves...
Media organizations bear great reponsibility because of their considerab...
Media plays an important role in shaping public opinion. Biased media ca...
We study text reuse related to Wikipedia at scale by compiling the first...
Arguing without committing a fallacy is one of the main requirements of ...
Reasoning is a crucial part of natural language argumentation. In order ...