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題名 An empirical evaluation of using ChatGPT to summarize disputes for recommending similar labor and employment cases in Chinese
作者 劉昭麟
Liu, Chao-lin;Wu, Po-Hsien;Li, Wei-Jie
貢獻者 資訊系
關鍵詞 civil cases; similar cases recommendation; machine learning; large language models; semantic clustering; semantic classification; convolutional neural networks
日期 2024-05
上傳時間 4-Oct-2024 09:42:20 (UTC+8)
關聯 Proceedings of the Eighteenth International Workshop on Juris-Informatics, JURISIN, pp.101‒114
資料類型 conference
dc.contributor 資訊系
dc.creator (作者) 劉昭麟
dc.creator (作者) Liu, Chao-lin;Wu, Po-Hsien;Li, Wei-Jie
dc.date (日期) 2024-05
dc.date.accessioned 4-Oct-2024 09:42:20 (UTC+8)-
dc.date.available 4-Oct-2024 09:42:20 (UTC+8)-
dc.date.issued (上傳時間) 4-Oct-2024 09:42:20 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/153887-
dc.format.extent 7838444 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Proceedings of the Eighteenth International Workshop on Juris-Informatics, JURISIN, pp.101‒114
dc.subject (關鍵詞) civil cases; similar cases recommendation; machine learning; large language models; semantic clustering; semantic classification; convolutional neural networks
dc.title (題名) An empirical evaluation of using ChatGPT to summarize disputes for recommending similar labor and employment cases in Chinese
dc.type (資料類型) conference