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 . |
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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 . |
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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. |
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Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing (2020.coling-main)
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| Challenge: | Existing work on argument quality (AQ) focuses on overall quality, but there is no large-scale theory-based corpus and corresponding computational models. |
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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. |
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| Challenge: | Argumentation is a key competence and an important cultural technique in democratic societies. |
| Approach: | They propose to create domain-specific datasets and methods to assess argument quality. |
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Graph Embeddings for Argumentation Quality Assessment (2022.findings-emnlp)
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| Challenge: | Argumentation is the process by which arguments are constructed, compared, evaluated in several respects and judged in order to establish whether any of them is warranted. |
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| Challenge: | Assessing the quality of an argument is a complex, highly subjective task . argument quality dimensions are complex and dependent on the context in which it is assessed . |
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The Shift from Logic to Dialectic in Argumentation Theory: Implications for Computational Argument Quality Assessment (2025.coling-main)
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| Challenge: | In the field of computational argument quality assessment, logic and dialectic are essential dimensions used to measure the quality of argumentative texts. |
| Approach: | They propose to separate logic and dialectic as quality dimensions in computational argument quality assessment . they propose to use dialectical considerations to improve the quality of argumentative texts . |
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Cross-Domain Argument Quality Estimation (2023.findings-acl)
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| Challenge: | Argument mining is a field of automated discovery and organization of arguments. |
| Approach: | They propose to generalize argument quality estimation from multiple angles by combining empirical results with a training part. |
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