Challenge: Existing work on argument quality (AQ) focuses on overall quality, but there is no large-scale theory-based corpus and corresponding computational models.
Approach: They propose to use a large-scale English multi-domain argumentative writing corpus annotated with theory-based AQ scores to assess argument quality.
Outcome: The proposed methods improve argument quality in three domains and can be used as strong baselines for future work.

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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.
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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 .
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Challenge: Argumentation is a key competence and an important cultural technique in democratic societies.
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Argument Quality Assessment in the Age of Instruction-Following Large Language Models (2024.lrec-main)

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Challenge: Argument quality assessment is critical for opinion formation, decision making, writing education, and the like.
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Intrinsic Quality Assessment of Arguments (2020.coling-main)

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Challenge: Several quality dimensions of natural language arguments have been investigated.
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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 .
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Towards a Perspectivist Turn in Argument Quality Assessment (2025.naacl-long)

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Challenge: Argument quality is a key aspect of computational argumentation (CA), but it still exhibits a high degree of subjectivity in perception.
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Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Method (2025.acl-long)

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Challenge: Existing research on argument mining has proposed various argument annotation schemes and tasks.
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Automatic Argument Quality Assessment - New Datasets and Methods (D19-1)

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Challenge: 6.3k arguments were collected from contributors of various levels, and are released as part of this work.
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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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