research
∙
06/13/2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
The fields of both Natural Language Processing (NLP) and Automated Machi...
share
research
∙
05/26/2023
To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support
Optimizing the phrasing of argumentative text is crucial in higher educa...
research
∙
05/24/2023
Modeling Appropriate Language in Argumentation
Online discussion moderators must make ad-hoc decisions about whether th...
research
∙
04/13/2023
Perspectives on Large Language Models for Relevance Judgment
When asked, current large language models (LLMs) like ChatGPT claim that...
research
∙
01/31/2023
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments
We present the Touché23-ValueEval Dataset for Identifying Human Values b...
research
∙
01/24/2023
Conclusion-based Counter-Argument Generation
In real-world debates, the most common way to counter an argument is to ...
research
∙
12/17/2022
Claim Optimization in Computational Argumentation
An optimal delivery of arguments is key to persuasion in any debate, bot...
research
∙
11/07/2022
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
News articles both shape and reflect public opinion across the political...
research
∙
09/06/2022
"Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations
As AI is more and more pervasive in everyday life, humans have an increa...
research
∙
03/28/2022
The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments
An audience's prior beliefs and morals are strong indicators of how like...
research
∙
10/26/2021
Assessing the Sufficiency of Arguments through Conclusion Generation
The premises of an argument give evidence or other reasons to support a ...
research
∙
09/30/2021
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
Key point analysis is the task of extracting a set of concise and high-l...
research
∙
09/10/2021
Controlled Neural Sentence-Level Reframing of News Articles
Framing a news article means to portray the reported event from a specif...
research
∙
07/01/2021
Scientia Potentia Est – On the Role of Knowledge in Computational Argumentation
Despite extensive research in the past years, the computational modeling...
research
∙
06/02/2021
Generating Informative Conclusions for Argumentative Texts
The purpose of an argumentative text is to support a certain conclusion....
research
∙
05/25/2021
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
Text generation has received a lot of attention in computational argumen...
research
∙
01/25/2021
Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
Assessing the quality of arguments and of the claims the arguments are c...
research
∙
01/24/2021
Belief-based Generation of Argumentative Claims
When engaging in argumentative discourse, skilled human debaters tailor ...
research
∙
11/24/2020
Argument from Old Man's View: Assessing Social Bias in Argumentation
Social bias in language - towards genders, ethnicities, ages, and other ...
research
∙
11/03/2020
Semi-Supervised Cleansing of Web Argument Corpora
Debate portals and similar web platforms constitute one of the main text...
research
∙
10/23/2020
Intrinsic Quality Assessment of Arguments
Several quality dimensions of natural language arguments have been inves...
research
∙
10/20/2020
Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
Media organizations bear great reponsibility because of their considerab...
research
∙
10/20/2020
Detecting Media Bias in News Articles using Gaussian Bias Distributions
Media plays an important role in shaping public opinion. Biased media ca...
research
∙
12/21/2018
Wikipedia Text Reuse: Within and Without
We study text reuse related to Wikipedia at scale by compiling the first...
research
∙
02/19/2018
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation
Arguing without committing a fallacy is one of the main requirements of ...
research
∙
08/04/2017
