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    题名: 觸犯多款法條之賭博與竊盜案件的法院文書的分類與分析
    作者: 廖鼎銘
    Lia, Ting-Ming
    贡献者: 劉昭麟
    Liu, ChaoLin Liu
    廖鼎銘
    Lia, Ting-Ming
    关键词: 法資訊學
    日期: 2004
    上传时间: 2009-09-17 13:55:07 (UTC+8)
    摘要: 吾人延續電腦簡易刑事判決技術的研究經驗，以有詞序的關鍵詞做為文件的主要特徵，以instance-based reasoning為核心，並結合其它的推論方法，建立一個混合型的案例式推論系統，來分類賭博以及竊盜的刑事案件。此系統以訓練用案件建立判例資料庫；以introspective learning處理機器學習過程中，對不相干和不正確特徵敏感的問題；以訓練過程中的紀錄，過濾判例資料庫中容易造成錯誤分類的instances；最後還導入專家知識建立法則，幫助案件的分類。實驗結果顯示，新的分類方法在竊盜案件上有良好的表現。
    為了幫助未來其它的案件之處理工作，本論文還提出一個自動標記賭博案件語意段落的方法，以朝結構化案件的目標前進。該方法根據關鍵詞特徵建立每種段落的模型，包括起始句與結尾句的規則，再根據段落模型自動標記出段落。實驗結果顯示，語意段落的自動標記值得以其它案由的案件進行嘗試。
    參考文獻: [1] V. Aleven, Teaching Case-Based Argumentation Through a Model and Examples, Ph.D. Dissertation, University of Pittsburgh.
    [2] K. Al-Kofahi, A. Tyrrell, A. Vachher, and P. Jackson, A Machine Learning Approach to Prior Case Retrieval, Proceedings of the 8th International Conference on Artificial Intelligence and Law, 88-93, 2001.
    [3] Bonzano, P. Cunningham, and B. Smyth, Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control, Proceedings of the 2nd International Conference on Case-Based Reasoning, 291-302, 1997.
    [4] G. Boella, L. Favali, and L. Lesmo, An Action-Based Ontology of Legal Relations, Proceedings of the 18th International Conference on Artificial Intelligence and Law, 227-228. 2001.
    [5] S. Brüninghaus and K. D. Ashley, Predicting the Outcome of Case-Based Legal Arguments, Proceedings of the 9th International Conference on Artificial Intelligence and Law, 233-242, 2003.
    [6] S. Brüninghaus and K. D. Ashley, Improviing the Representation of Legal Case Texts With Information Extraction Methods, Proceedings of the 8th International Conference on Artificial Intelligence and Law, 42-51, 2001.
    [7] L. K. Branting, J. C. Lester, and C. B. Callaway, Automating Judicial Document Drafting：A Discourse-Based Approach, Artificial Intelligence and Law, 62-64, 1998.
    [8] S. Fox and D. B. Leake, Learning to Refine Indexing by Introspective Reasoning, Proceedings of the 1st International Conference on Case-Based Reasoning, 431-440, 1995.
    [9] S. Fox and D. B. Leake, Modeling Case-based Planning for Repairing Reasoning Failures, Proceedings of the AAAI Spring Symposium on Representing Mental States and Mechanisms, 31-38, 1995.
    [10] D. S. Hirschberg, A Linear Space Algorithm for Computing Maximal Common Subsequence, Communications of the ACM, 341-343, 1975.
    [11] D. S. Hirschberg, Algorithms for the Longest Common Subsequence Problem, Journal of the ACM, 664-675, 1977.
    [12] T. Kohonen, The Self-Organizing Map, Proceedings of the IEEE, 1464-1480, 1990.
    [13] J. Kolodner and D. Leake, A Tutorial Introduction to Case-Based Reasoning, D. Leake, Editor, Case-Based Reasoning：Experiences, Lessons, ＆ Future Directions, 31-65, 1966.
    [14] G. Lame, A Categorization Method for French Legal Documents on the Web, Proceedings of the 18th International Conference on Artificial Intelligence and Law, 168-170, 2001.
    [15] C.-L. Liu, C.-T. Chang, and J.-H. Ho, Case Instance Generation and Refinement for Case-Based Criminal Summary Judgments in Chinese, Journal of Information Science and Engineering, 20(4), 783-800, 2004.
    [16] T. Mitchell, Instance-Based Learning, Machine Learning, 1997.
    [17] K. Pal, An Approach to Legal Reasoning Based on a Hybrid Decision-Support System, Expert Systems with Applications, 1-12, 1999.
    [18] F. Provost and J. Aronis, Scaling up inductive learning with massive parallelism, Machine Learning, 23, 33-46, 1996.
    [19] E. L. Rissland and K. D. Ashley, A Case-Based System for Trade Secrets Law, Proceedings of the 1st International Conference on Artificial Intelligence and Law, 60-66, 1987.
    [20] U. J. Schild, Intelligent Computer Systems for Criminal Sentencing, Proceedings of the 15th International Conference on Artificial Intelligence and Law, 229-238, 1995.
    [21] E. Schweighofer, A. Rauber, M. Dittenbach, Automatic Text Representation, Classification and Labeling in European Law, Proceedings of the 18th International Conference on Artificial Intelligence and Law, 78-87, 2001.
    [22] B. Verheij, Automated Argument Assistance for Lawyers, Proceedings of the 7th international conference on Artificial intelligence and law, 43-52, 1999.
    [23] Case-Based Reasoning：A Review, the AI-CBR Homepage, http://www.ai-cbr.org/classroom/cbr-review.html.
    [24] 陳起行, 德國法資訊學, 法學叢刊, 46(2):79-85, 2001.
    [25] 司法院法學資料全文檢索 http://nwjirs.judicial.gov.tw/Index.htm.
    描述: 碩士
    國立政治大學
    資訊科學學系
    91753026
    93
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0091753026
    数据类型: thesis
    显示于类别:[資訊科學系] 學位論文

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