| Challenge: | Prior work on argumentation in the NLP community has focused mainly on the first goal and has missed more nuanced and complex details of viewpoints. |
| Approach: | They propose a neural architecture that explicitly models the interplay between an Opinion Holder's (OH's) reasoning and a challenger's argument to predict if the argument succeeded in altering the OH' s view. |
| Outcome: | The proposed model outperforms several baselines on discussions on the Change My View forum on Reddit. |
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| Challenge: | Existing work on persuasion in online forums focuses on identifying debate winners and winning negotiation games. |
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Predicting Stance Change Using Modular Architectures (2020.coling-main)
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| Challenge: | Existing studies on argumentative text in isolation have shown that ideological stances are highly correlated with different moral arguments preferences. |
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A Dynamic Speaker Model for Conversational Interactions (N19-1)
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Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing (2023.findings-eacl)
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| Challenge: | Using the essay context of the revision and feedback from students prior to the revision, we identify desirable and undesirable revisions. |
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Effective Attention Modeling for Aspect-Level Sentiment Classification (C18-1)
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Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? (2022.acl-long)
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| Challenge: | Existing methods for argument mining are limited by the scarcity of manually annotated data and the highly domain-dependent nature of argumentation. |
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Predicting Reference: What do Language Models Learn about Discourse Models? (2020.emnlp-main)
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Aspect-Controlled Neural Argument Generation (2021.naacl-main)
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| Challenge: | Current argument generation models produce lengthy texts and allow the user little control over the aspect the argument should address. |
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Dissecting Persona-Driven Reasoning in Language Models via Activation Patching (2025.findings-emnlp)
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