請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98094完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭卜壬 | zh_TW |
| dc.contributor.advisor | Pu-Jen Cheng | en |
| dc.contributor.author | 林君憲 | zh_TW |
| dc.contributor.author | Chun-Hsien Lin | en |
| dc.date.accessioned | 2025-07-24T16:10:13Z | - |
| dc.date.available | 2025-07-25 | - |
| dc.date.copyright | 2025-07-24 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-07-16 | - |
| dc.identifier.citation | [1] 張麗卿, 刑法總則理論與運用(11版). 2023: 五南圖書出版股份有限公司. 100 ~ 101.
[2] Norman L. Biggs, E.K.L., Robin J. Wilson, Graph Theory 1736-1936. 1986: Xford University Press Academic. [3] Bright, D., R. Brewer, and C. Morselli, Reprint of: Using social network analysis to study crime: Navigating the challenges of criminal justice records. Social Networks, 2022. 69: p. 235-250. [4] Basile, A., et al., N-GrAM: New Groningen Author-profiling Model. 2017. [5] op Vollenbroek, M.B., et al., Gronup: Groningen user profiling. Notebook for PAN at CLEF, 2016. [6] Golbeck, J., et al. Predicting Personality from Twitter. in 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing. 2011. [7] P. Cimiano, A.H., S. Staab, Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis. Journal Of Artificial Intelligence Research, 2005. 24: p. 305-339. [8] Huws, C.F. and J.C. Finnis, On computable numbers with an application to the AlanTuringproblem. Artificial Intelligence and Law, 2017. 25(2): p. 181-203. [9] Surden, H., M. Genesereth, and B. Logu, Representational complexity in law, in Proceedings of the 11th international conference on Artificial intelligence and law. 2007, ACM: Stanford, California. p. 193-194. [10] Valente, A., Types and Roles of Legal Ontologies, in Law and the Semantic Web: Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications, V.R. Benjamins, et al., Editors. 2005, Springer Berlin Heidelberg: Berlin, Heidelberg. p. 65-76. [11] Gruber, T.R., Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies, 1995. 43,(5–6): p. 20. [12] Ni Zhang, Y.-F.P., Sui-Quan Yang, Ji-Liu Zhou, Jin-Kang Gao, An Ontological Chinese Legal Consultation System. IEEE Access, 2017. 5: p. 18250 - 18261. [13] Carmelo Asaro, M.A.B., Paolo Guidotti, Maurizio Papini, Maria-Teresa Sagri, and Daniela Tiscornia. A Domain Ontology: Italian Crime Ontology. in ICAIL 2003 Workshop on Legal Ontologies & Web based legal information management. 2003. [14] Saravanan, M., B. Ravindran, and S. Raman, Improving legal information retrieval using an ontological framework. Artificial Intelligence and Law, 2009. 17(2): p. 101-124. [15] de Araujo, D.A., Rigo, S.J. & Barbosa, J.L.V., Ontology-based information extraction for juridical events with case studies in Brazilian legal realm. Artificial Intelligence and Law, 2017. 25(1572-8382): p. 379-396. [16] Dainow, J., The Civil Law and the Common Law: Some Points of Comparison. The American Journal of Comparative Law, 1966. 15(3): p. 419-435. [17] Friedrich, R., M. Luzzatto, and E. Ash. Entropy in Legal Language. in 2nd Workshop on Natural Legal Language Processing (NLLP, collocated with KDD 2020)(virtual). 2020. [18] Paul, S., et al., Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law, in Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law. 2023, Association for Computing Machinery: Braga, Portugal. p. 187–196. [19] Chiseung Soh, S.L., Kihyun Hong, Young-Yik Rhim, Ontology Modeling for Criminal Law, in AI Approaches to the Complexity of Legal Systems. 2018, Springer, Cham: Pagallo U., Palmirani M., Casanovas P., Sartor G., Villata S. (eds). p. 365-379. [20] 司法官學院, 檢察書類寫作要領. 3 ed. 2023: 法務部司法官學院. [21] Lin, C.-Y. Rouge: A package for automatic evaluation of summaries. in Text summarization branches out. 2004. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/98094 | - |
| dc.description.abstract | 本論文提出了一種基於刑法犯罪三階理論所構建的法律本體──刑法三階理論數學模型，並利用模型中的構成要件階層進行自動量化分析特定罪名。近年來，生成式人工智慧的興起，使得自動文本生成技術容易取得及使用，影響了諸多的產業，法學界及法律實務界也感受到了這股勢不可擋的潮流。但如何以自動化的方式評估生成式人工智慧所生成的法律文本內容，是一項具深具挑戰性的任務。本文依據刑法三階理論，以統一塑模語言（Unified Modeling Language, UML）來建構一個標準化可機械性操作的法律數學模型。由於該模型標準化的高度可操作性，並以刑法三階理論為基礎建立，是以該數學模型除了具備可解釋性外，亦容易轉換為電腦程式，使我們能夠以自動化的方式客觀評估生成式人工智慧所生成之法律文本，同時，應用在具體案件中，能幫助使用者基於刑法三階理論進行初步推理與評估生成式人工智慧所生成的文本完備性以及寫作風格，從而協助法律實務工作者具體修正生成文本內容的方向。本文所提出的模型不僅能提供法律資訊系統在推理能力的可解釋性，也為法律文件處理的自動化帶來新的應用方向，有望在未來實現更高效與準確的法律推理輔助工具。 | zh_TW |
| dc.description.abstract | This paper proposes a legal ontology based on the three-stage theory of criminal law, specifically its corresponding mathematical model, and utilizes the hierarchical structure of constituent elements within the model to quantify and analyze specific crimes automatically. In recent years, the rise of generative artificial intelligence has made text generation technology readily accessible and widely applicable, impacting numerous industries. The legal community and legal practice have also been affected by this unstoppable trend. However, evaluating the content of legal texts generated by generative artificial intelligence in an automated manner remains a highly challenging task. To address this, the paper employs the Unified Modeling Language (UML) to construct a standardized and mechanically operable mathematical model of law based on the three-stage theory of criminal law. Due to its high operability, the standardized model is not only interpretable but also easily translatable into computer programs, allowing for the objective and automated evaluation of legal texts generated by generative AI. When applied to specific cases, the model can assist users in making preliminary inferences grounded in the three-stage theory of criminal law and in assessing the completeness and writing style of AI-generated texts. This, in turn, helps legal practitioners refine and correct the content direction more precisely. The proposed model not only clarifies the reasoning capabilities of legal information systems but also introduces new applications for automating legal document processing, with the potential to lead to more efficient and accurate legal reasoning tools in the future. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-07-24T16:10:13Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-07-24T16:10:13Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員審定書 I
序言 II 致謝 II 摘要 III ABSTRACT IV 目次 V 圖次 VI 表次 VII 壹、緒論 1 貳、研究方法 3 一、刑法犯罪三階理論 5 二、構成要件的標籤化 7 三、刑法三階理論的本體 8 四、統一塑模語言 12 參、刑法三階理論數學建模 12 肆、刑法三階理論數學模型分析犯罪之起訴裁量 18 一、判決書的拆解 18 二、生成內容之構成要件完備性及內容風格的自動檢驗框架 23 三、訓練識別構成要件要素的具名實體識別器 27 四、評估生成內容 30 伍、討論與未來工作 35 參考文獻 38 附錄 40 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 刑法犯罪三階理論 | zh_TW |
| dc.subject | 大型語言模型 | zh_TW |
| dc.subject | 統一塑模語言 | zh_TW |
| dc.subject | 有限狀態機 | zh_TW |
| dc.subject | 自然語言處理 | zh_TW |
| dc.subject | UML | en |
| dc.subject | Finite-State Machine | en |
| dc.subject | Natural Language Processing | en |
| dc.subject | Criminal Law | en |
| dc.subject | Legal ontology | en |
| dc.subject | Large Language Model | en |
| dc.title | 詐欺案件法律文件生成與驗證：基於構成要件分析與判決書風格的雙階段應用框架 | zh_TW |
| dc.title | Generation and Verification of Legal Documents in Fraud Cases: A Dual-Stage Framework Based on Element Analysis and Judicial Writing Style Adaptation In Traditional Chinese | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 博士 | - |
| dc.contributor.oralexamcommittee | 王皇玉;黃詩淳;陳肇鴻;傅楸善;林風 | zh_TW |
| dc.contributor.oralexamcommittee | Huang-Yu Wang;Sieh-Chuen Huang;Chao Hung Chen;Chiou-Shann Fuh;Phone Lin | en |
| dc.subject.keyword | 刑法犯罪三階理論,自然語言處理,有限狀態機,統一塑模語言,大型語言模型, | zh_TW |
| dc.subject.keyword | Legal ontology,Criminal Law,Natural Language Processing,Finite-State Machine,UML,Large Language Model, | en |
| dc.relation.page | 53 | - |
| dc.identifier.doi | 10.6342/NTU202501404 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-07-17 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 資訊工程學系 | - |
| dc.date.embargo-lift | 2025-07-25 | - |
| 顯示於系所單位： | 資訊工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-113-2.pdf | 3.97 MB | Adobe PDF | 檢視/開啟 |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。