| Challenge: | ad-hominem attacks are the most common form of argumentation in real life . |
| Approach: | They hypothesize that the best counterargument invokes the same aspects as the argument while having the opposite stance. |
| Outcome: | The proposed model is independent from the topic at hand, i.e., it applies to arbitrary arguments. |
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| Challenge: | Existing work on claim specificity and stance has been limited to shallow arguments . a system that can determine the stance of claims employed in argumentation is not sufficient . |
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Is Peer-Reviewing Worth the Effort? (2025.coling-main)
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| Challenge: | Using early returns and venue, we can predict which papers will be highly cited in the future. |
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Argument Invention from First Principles (P19-1)
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Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim
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Can We Identify Stance without Target Arguments? A Study for Rumour Stance Classification (2024.lrec-main)
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| Challenge: | Existing target-aware models underperform in cases where the context of the target is crucial. |
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Conclusion-based Counter-Argument Generation (2023.eacl-main)
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| Challenge: | Existing work on the automatic generation of natural language counter-arguments does not address the relation to the conclusion, possibly because many arguments leave their conclusion implicit. |
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Proceedings of the 2nd Workshop on New Frontiers in Summarization (D19-54)
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A Counterfactual Explanation Framework for Retrieval Models (2026.findings-acl)
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| Challenge: | Existing literature on explainability of information retrieval has focused on illustrating the concept of relevance concerning a retrieval model. |
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Finding Authentic Counterhate Arguments: A Case Study with Public Figures (2023.emnlp-main)
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Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing (D19-60)
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Proceedings of the 2nd Workshop on Machine Reading for Question Answering (D19-58)
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