2 citations · 7 across the 7 of their papers we have counts for
8 papers
"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanations
Henning Wachsmuth, Milad Alshomary
As AI is more and more pervasive in everyday life, humans have an increasing demand to understand its behavior and decisions. Most research on explainable AI builds on the premise…
The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments
Milad Alshomary, Roxanne El Baff, Timon Gurcke +1
An audience's prior beliefs and morals are strong indicators of how likely they will be affected by a given argument. Utilizing such knowledge can help focus on shared values to br…
Assessing the Sufficiency of Arguments through Conclusion Generation
Timon Gurcke, Milad Alshomary, Henning Wachsmuth
The premises of an argument give evidence or other reasons to support a conclusion. However, the amount of support required depends on the generality of a conclusion, the nature of…
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
Milad Alshomary, Timon Gurcke, Shahbaz Syed +5
Key point analysis is the task of extracting a set of concise and high-level statements from a given collection of arguments, representing the gist of these arguments. This paper p…
Generating Informative Conclusions for Argumentative Texts
Shahbaz Syed, Khalid Al-Khatib, Milad Alshomary +2
The purpose of an argumentative text is to support a certain conclusion. Yet, they are often omitted, expecting readers to infer them rather. While appropriate when reading an indi…
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
Milad Alshomary, Shahbaz Syed, Arkajit Dhar +2
Text generation has received a lot of attention in computational argumentation research as of recent. A particularly challenging task is the generation of counter-arguments. So far…