Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
| Challenge: | 6.3k arguments were collected from contributors of various levels, and are released as part of this work. |
| Approach: | They propose to use a language model to annotate arguments for argument ranking and argument-pair classification. |
| Outcome: | The proposed methods outperform state-of-the-art methods in the argument ranking task and argument-pair classification task. |
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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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| 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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| Challenge: | Existing datasets in argument quality detection lack quality, quantity and diversity of topics and arguments. |
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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. |
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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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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. |
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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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Bridging Argument Quality and Deliberative Quality Annotations with Adapters (2023.findings-eacl)
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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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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. |
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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. |
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