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Performance analysis of large language models in the domain of legal argument mining.

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第一作者： Abdullah,Al Zubaer

第一单位： Faculty of Computer Science and Mathematics, Chair of Data Science, University of Passau, Passau, Germany.

作者： Abdullah,Al Zubaer ^[1] ; Michael,Granitzer ^[1] ; Jelena,Mitrović ^[2]

作者单位： Faculty of Computer Science and Mathematics, Chair of Data Science, University of Passau, Passau, Germany. ^[1] Faculty of Computer Science and Mathematics, Chair of Data Science, University of Passau, Passau, Germany.;Group for Human Computer Interaction, Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, Serbia. ^[2]

关键词 ChatGPT European Court of Human Rights (ECHR)GPT-4 argument mining large language models legal data natural language processing (NLP)sequence classification

DOI 10.3389/frai.2023.1278796

PMID 38045763

发布时间 2024-10-15

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Performance analysis of large language models in the domain of legal argument mining.

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Performance analysis of large language models in the domain of legal argument mining.

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