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Efficient argument classification with compact language models and ChatGPT-4 refinements
March 26, 2024, 4:50 a.m. | Marcin Pietron, Rafa{\l} Olszowski, Jakub Gomu{\l}ka
cs.CL updates on arXiv.org arxiv.org
Abstract: Argument mining (AM) is defined as the task of automatically identifying and extracting argumentative components (e.g. premises, claims, etc.) and detecting the existing relations among them (i.e., support, attack, no relations). Deep learning models enable us to analyze arguments more efficiently than traditional methods and extract their semantics. This paper presents comparative studies between a few deep learning-based models in argument mining. The work concentrates on argument classification. The research was done on a wide …
abstract analyze arxiv chatgpt chatgpt-4 classification components cs.cl deep learning etc language language models mining relations support them type
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