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20212026
most citedGenerating Informative Conclusions for Argumentative Texts

2 citations · 5 across the 6 of their papers we have counts for

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6 papers

cs.CL2026

ARGUS: Seeing the Influence of Narrative Features on Persuasion in Argumentative Texts

Sara Nabhani, Federico Pianzola, Khalid Al-Khatib +1

Can narratives make arguments more persuasive? And to this end, which narrative features matter most? Although stories are often seen as powerful tools for persuasion, their specif…

cs.CL2025★ 2 cited

Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design

Elena Musi, Nadin Kokciyan, Khalid Al-Khatib +10

In this position paper, we advocate for the development of conversational technology that is inherently designed to support and facilitate argumentative processes. We argue that, a…

cs.CL2024

Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts

Arianna Muti, Federico Ruggeri, Khalid Al-Khatib +2

We propose misogyny detection as an Argumentative Reasoning task and we investigate the capacity of large language models (LLMs) to understand the implicit reasoning used to convey…

cs.CL2023★ 1 cited

Citance-Contextualized Summarization of Scientific Papers

Shahbaz Syed, Ahmad Dawar Hakimi, Khalid Al-Khatib +1

Current approaches to automatic summarization of scientific papers generate informative summaries in the form of abstracts. However, abstracts are not intended to show the relation…

cs.CL2022

Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation

Alonso Palomino, Martin Potthast, Khalid Al-Khatib +1

Most research on natural language processing treats bias as an absolute concept: Based on a (probably complex) algorithmic analysis, a sentence, an article, or a text is classified…

cs.CL2021★ 2 cited

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…