IAM Dataset (A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks)
Introduced by Cheng et al. in IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
We introduce a large and comprehensive dataset to facilitate the study of several essential AM tasks in the debating system. In our work, we first review the existing subtasks (claim extraction, stance classification, evidence extraction), and then propose two integrated argument mining tasks: claim extraction with stance classification (CESC) and claim-evidence pair extraction (CEPE).
Benchmarks
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IAM Dataset
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Multi-label
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IAM Dataset
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Multi-task
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Papers
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