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Exploring the Potential of Large Language Models in Computational Argumentation
March 18, 2024, 4:48 a.m. | Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing
cs.CL updates on arXiv.org arxiv.org
Abstract: Computational argumentation has become an essential tool in various fields, including artificial intelligence, law, and public policy. It is an emerging research field in natural language processing that attracts increasing attention. Research on computational argumentation mainly involves two types of tasks: argument mining and argument generation. As large language models have demonstrated strong abilities in understanding context and generating natural language, it is worthwhile to evaluate the performance of LLMs on various computational argumentation tasks. …
abstract artificial artificial intelligence arxiv attention become computational cs.cl fields intelligence language language models language processing large language large language models law mining natural natural language natural language processing policy processing public public policy research tasks tool type types
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