Papers by Eva Maria Vecchi
Argument Quality Assessment in the Age of Instruction-Following Large Language Models (2024.lrec-main)
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Henning Wachsmuth, Gabriella Lapesa, Elena Cabrio, Anne Lauscher, Joonsuk Park, Eva Maria Vecchi, Serena Villata, Timon Ziegenbein
| Challenge: | Argument quality assessment is critical for opinion formation, decision making, writing education, and the like. |
| Approach: | They propose to use large language models to leverage knowledge across contexts to enable a much more reliable assessment. |
| Outcome: | The proposed approach improves the quality of argumentation and the ability to leverage knowledge across contexts. |
Node Placement in Argument Maps: Modeling Unidirectional Relations in High & Low-Resource Scenarios (2023.acl-long)
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| Challenge: | Argument maps structure discourse into nodes with each node being an argument that supports or opposes its parent argument. |
| Approach: | They propose a task of node placement: suggesting candidate nodes as parents for a new contribution. |
| Outcome: | The proposed method improves the quality of the argument maps and reduces redundancy. |
It Is Not Only the Negative that Deserves Attention! Understanding, Generation & Evaluation of (Positive) Moderation (2025.naacl-long)
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| Challenge: | Moderation is essential for maintaining and improving the quality of online discussions. |
| Approach: | They annotate a dataset on 13 modes of discussion and use it to generate positive moderation. |
| Outcome: | The proposed model shows that professional moderation generates higher ratings than professional moderated moderation, but prefers professional moderate in pairwise comparison. |
Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum (2024.lrec-main)
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| Challenge: | Research on language as interactive discourse demonstrates the deliberate use of demographic parameters such as gender, ethnicity, and class to shape social identities. |
| Approach: | They propose to investigate the role and effects of gender self-disclosures on online discourse dynamics by focusing on author gender. |
| Outcome: | The proposed dataset will provide a further impulse for research on the interplay between gender disclosures, community interaction, and persuasion in online discourse. |
Mining, Assessing, and Improving Arguments in NLP and the Social Sciences (2024.lrec-tutorials)
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| Challenge: | a tutorial on computational argumentation is updated to address the problem of argument quality . argument quality is a field of interdisciplinary research that connects natural language processing to social sciences . |
| Approach: | They present an updated version of the EACL 2023 tutorial on argument quality . they will focus on the notions of argument quality across disciplines . |
| Outcome: | The updated version of the EACL 2023 tutorial focuses on argument quality assessment . the authors will focus on the interface between Argument Mining and Deliberation Theory . |
Mining, Assessing, and Improving Arguments in NLP and the Social Sciences (2023.eacl-tutorials)
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| Challenge: | a tutorial on argument quality assessment will focus on what makes an argument good or bad . argument quality is a field encompassing varying tasks on the automated analysis and synthesis of natural language arguments. |
| Approach: | This tutorial will focus on the assessment of argument quality across disciplines . authors will involve participants in annotation studies on the quality assessment . |
| Outcome: | The tutorial will focus on the assessment of argument quality across disciplines . it will involve participants in two annotation studies on the quality assessment and the improvement of quality . |
Towards Argument Mining for Social Good: A Survey (2021.acl-long)
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| Challenge: | Argument Mining is a social science-based approach to analysis and analysis of arguments. |
| Approach: | They propose a novel definition of argument quality which integrates the social science literature and the argument quality. |
| Outcome: | The proposed definition of argument quality integrates the social science literature and the argument quality debate. |
PerspectiveMod: A Perspectivist Resource for Deliberative Moderation (2025.emnlp-main)
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| Challenge: | Human moderators in online discussions face a heterogeneous range of tasks that go beyond content moderation, or policing. |
| Approach: | They propose a dataset of online comments annotated for the question "Does this comment require moderation?" they aim to improve discussion quality by analyzing annotator perspectives and annotating their views. |
| Outcome: | The proposed model is unique in its intentional variation across the level of moderation experience embedded in the source data, the annotator profiles and the individuality of the annnotator. |