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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64187Full metadata record
| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 林守德 | |
| dc.contributor.author | Wan-Chen Lin | en |
| dc.contributor.author | 林琬真 | zh_TW |
| dc.date.accessioned | 2021-06-16T17:33:58Z | - |
| dc.date.available | 2015-08-20 | |
| dc.date.copyright | 2012-08-20 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-08-15 | |
| dc.identifier.citation | 1. 植根法律網. Available from: http://www.rootlaw.com.tw/index.aspx.
2. Bru‥ninghaus, K.D.A.a.S., Automatically classifying case texts and predicting outcomes. AI and LAW, 2009. 3. Aleven, V., Teaching CaseBased Argumentation Through a Model and Examples. 1997. 4. 林山田, 刑法通論. 5. 林山田, 刑法各罪論. 6. 中研院斷詞系統. Available from: http://ckipsvr.iis.sinica.edu.tw/. 7. CRF++: Yet Another CRF toolkit. Available from: http://crfpp.googlecode.com/svn/trunk/doc/index.html. 8. 蔡墩銘, 刑法精義. 9. 鄭凱鴻, 「強盜」與「恐嚇取財」間. 2003. 10. 比較刑法恐嚇罪. 11. Adam Wyner, W.P., Towards Annotating and Extracting Textual Legal Case Factors. 2010. 12. Lame, G., A Categorization Method for French Legal Documents on the Web. 2001. 13. Thompson, P., Automatic Categorization of Case Law. 2001. 14. CHAO-LIN LIU, C.-T.C.A.J.-H.H., Case Instance Generation and Refinement for Case-Based Criminal Summary Judgments in Chinese. 2004. 15. 謝淳達, 利用詞組檢索中文訴訟文書之研究. 16. Bain, W.M., A CASE-BASED REASONING SYSTEM FOR SUBJECTIVE ASSESSMENT. 1986. 17. SCHILD, U.J., Criminal Sentencing and Intelligent Decision Support. 1998. 18. N. Hutton, A.P., C.Tata, J.Wilson, Decision Support for Sentencing in a Common Law Jurisdiction. 1995. 19. Mackenzie, G., A. Vincent, and J. Zeleznikow, Decision support for criminal sentencing and plea bargaining, in Proceedings of the Fifth IASTED International Conference on Law and Technology2007, ACTA Press: Berkeley, California. p. 49-59. 20. Maria Jean J. Hall, D.C., Tania Sourdin, Andrew Stranieri, and John Zeleznikow, Supporting Discretionary Decision-Making with Information Technology: A Case Study in the Criminal Sentencing Jurisdiction. 2005. 21. ASHLEY, E.L.R.a.K.D., A note on dimensions and factors. 2002. 22. 劉邦繡, 被告犯後態度在法院量刑上之評價─最高法院95年度臺上第701號、97年度臺上字第6725號、98年度臺上字第5827號判決探討. 2011. 23. 坦白未必從寬，抗拒未必從嚴？！「竊盜罪」統計實證研究結果大公開！. Available from: http://www.jrf.org.tw/newjrf/RTE/myform_detail2.asp?id=1289. 24. 中華民國刑法第57條. Available from: http://law.moj.gov.tw/LawClass/LawSingle.aspx?Pcode=C0000001&FLNO=57. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/64187 | - |
| dc.description.abstract | 人工智慧在於法學領域所發展出的法學資訊系統在於提供參考資訊以協助司法審判，重要議題包括法律文件分類、法律文件摘要、類似過去案例搜尋、協助判刑等。本論文探討「強盜罪」與「恐嚇取財罪」的分類以及此兩種罪的刑期預測，我們針對「強盜罪」與「恐嚇取財罪」定義的法律要素，並嘗試自動擷取法律要素。研究中證明利用定義的法律要素確實改善案件分類以及量刑預測，最後討論「強盜罪」與「恐嚇取財罪」的特徵以及影響判刑的因素。 | zh_TW |
| dc.description.abstract | This paper aims at classifying robbery and intimidation and predicting their sentencing by considering defined legal factors. We introduce a framework to fetch legal factors of robbery and intimidation and use factors as features for case classification and sentencing prediction. It proves that legal factors indeed improve the results of case classification and sentencing prediction. We then discuss the influence of these legal factors in case classification and in sentencing prediction. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T17:33:58Z (GMT). No. of bitstreams: 1 ntu-101-R99922075-1.pdf: 650149 bytes, checksum: b496f9d15378f98f164a1cbdefe2c808 (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | Acknowledgements i
摘要 ii Abstract iii Contents iv List of Figures vi List of Tables vii Chapter 1 Introduction 1 1.1 Motivation 1 1.2 System Overview 1 1.3 Summary of Contribution 2 1.4 Thesis Organization 3 Chapter 2 Background 3 2.1 Format and Content of the Criminal Case Verdicts 3 2.2 Data Source 6 Chapter 3 Methodology and Experiments 6 3.1 Automatic Labeling 6 3.1.1 Background 6 3.1.2 Problem Definition 7 3.1.3 Experiment Results 10 3.2 Case Classification 11 3.2.1 Experiments Results of rule_based 12 3.2.2 Experiment Results of Liblinear 12 3.2.3 Experiment Results of Decision Tree 13 3.2.4 Discussion 16 3.3 Sentence Prediction 21 3.3.1 Description of the training data and features 21 3.3.2 Experiments 21 3.3.3 Discussion 25 Chapter 4 Automatic labeling results and conclusion 29 4.1 Automatic labeling results 29 4.2 Conclusion 30 Chapter 5 Related Work 31 5.1 法資訊學系統 31 5.2 法資訊學於法律文件分類 31 5.3 法資訊學於量刑預測 32 References 33 | |
| dc.language.iso | zh-TW | |
| dc.subject | 強盜罪 | zh_TW |
| dc.subject | 量刑預測 | zh_TW |
| dc.subject | 案件分類 | zh_TW |
| dc.subject | 法律文件 | zh_TW |
| dc.subject | 恐嚇取財罪 | zh_TW |
| dc.subject | legal document | en |
| dc.subject | classification | en |
| dc.subject | sentencing prediction | en |
| dc.subject | robbery | en |
| dc.subject | intimidation | en |
| dc.title | 機器學習於中文法律文件之標記與分類 | zh_TW |
| dc.title | Using Machine Learning in Chinese Legal Documents Labeling and Classification | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 劉昭麟,蔡宗翰,陳昭如,顏厥安 | |
| dc.subject.keyword | 法律文件,案件分類,量刑預測,強盜罪,恐嚇取財罪, | zh_TW |
| dc.subject.keyword | legal document,classification,sentencing prediction,robbery,intimidation, | en |
| dc.relation.page | 34 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-08-15 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| Appears in Collections: | 資訊工程學系 | |
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| File | Size | Format | |
|---|---|---|---|
| ntu-101-1.pdf Restricted Access | 634.91 kB | Adobe PDF |
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