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題名 Toward an integrated annotation and inference platform for enhancing justifications for algorithmically generated legal recommendations and decisions
作者 劉昭麟
Liu, Chao-Lin;Huang, Yi-Tang;Lin, Hong-Ren
貢獻者 資訊系
日期 2022-12
上傳時間 30-十一月-2023 11:27:16 (UTC+8)
摘要 We introduce our workflow that integrates the steps of annotation and classification, and hope that the end products are helpful for improving the justifications for legal reasoning and for recommending similar civil cases.
關聯 Proceedings of the Thirty-Fifth International Conference on Legal Knowledge and Information Systems, JURIX/ICAIL, pp.281‒285
資料類型 conference
DOI https://doi.org/10.3233/FAIA220481
dc.contributor 資訊系
dc.creator (作者) 劉昭麟
dc.creator (作者) Liu, Chao-Lin;Huang, Yi-Tang;Lin, Hong-Ren
dc.date (日期) 2022-12
dc.date.accessioned 30-十一月-2023 11:27:16 (UTC+8)-
dc.date.available 30-十一月-2023 11:27:16 (UTC+8)-
dc.date.issued (上傳時間) 30-十一月-2023 11:27:16 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/148305-
dc.description.abstract (摘要) We introduce our workflow that integrates the steps of annotation and classification, and hope that the end products are helpful for improving the justifications for legal reasoning and for recommending similar civil cases.
dc.format.extent 98 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings of the Thirty-Fifth International Conference on Legal Knowledge and Information Systems, JURIX/ICAIL, pp.281‒285
dc.title (題名) Toward an integrated annotation and inference platform for enhancing justifications for algorithmically generated legal recommendations and decisions
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.3233/FAIA220481
dc.doi.uri (DOI) https://doi.org/10.3233/FAIA220481