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01/31/2023
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments
We present the Touché23-ValueEval Dataset for Identifying Human Values b...
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01/24/2023
Conclusion-based Counter-Argument Generation
In real-world debates, the most common way to counter an argument is to ...
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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...
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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...
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10/26/2021
Assessing the Sufficiency of Arguments through Conclusion Generation
The premises of an argument give evidence or other reasons to support a ...
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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...
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06/02/2021
Generating Informative Conclusions for Argumentative Texts
The purpose of an argumentative text is to support a certain conclusion....
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05/25/2021
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
Text generation has received a lot of attention in computational argumen...
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01/24/2021
Belief-based Generation of Argumentative Claims
When engaging in argumentative discourse, skilled human debaters tailor ...
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12/21/2018