Prototypical Implementation and Assessment of Relatedness Search in Laws, Judgments and Commentaries
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1 Prototypical Implementation and Assessment of Relatedness Search in Laws, Judgments and Commentaries Master s Thesis Kickoff Presentation Philipp Pickel, Software Engineering for Business Information Systems (sebis) Department of Informatics Technische Universität München, Germany wwwmatthes.in.tum.de
2 Overview 1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap Pickel: Master's Thesis - Kickoff Presentation 2
3 Motivation Huge amounts of legal documents are available in digital format BGH publishes about 300 cases each month Database of juris contains > 4 million documents Beck-online provides > 2.5 million documents Precedents are important in lawyers' everyday work Case law in Anglo-American region Continental Europe High Courts give interpretations of laws Past cases can be used as guidance Transformation of precedents to common law All similar cases can t be found without computer aid Pickel: Master's Thesis - Kickoff Presentation 3
4 Motivation Legal data as source of latent structured data Similar structure for certain document types, e.g. judgments, laws Grammatical or spelling mistakes are uncommon Explicit and implicit relations between documents NLP and ML are promising approaches Pickel: Master's Thesis - Kickoff Presentation 4
5 Motivation Google Image Search Input: picture Output: similar pictures, information about the picture Pickel: Master's Thesis - Kickoff Presentation 5
6 Overview 1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap Pickel: Master's Thesis - Kickoff Presentation 6
7 Dataset BGH Judgments Extracted from beck-online From 1951 until today (most after 2000) AktG > 900 judgments 2100 words per judgment 40 explicit references per judgment Mietrecht > 700 judgments 2500 words per judgment 35 explicit references per judgment Laws AktG (last 30 years) BGB (latest version) Pickel: Master's Thesis - Kickoff Presentation 7
8 Overview 1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap Pickel: Master's Thesis - Kickoff Presentation 8
9 Problem Statement What determines relatedness in legal documents? How can a system recognize these relations? In which way can this knowledge be presented to a user? Pickel: Master's Thesis - Kickoff Presentation 9
10 Overview 1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap Pickel: Master's Thesis - Kickoff Presentation 10
11 Literature Review Functional Similarity and Relatedness of Texts Recommender Systems in the legal domain Technical Regular Expressions Pattern Matching Bag-of-words Word Vectors POS NER Pickel: Master's Thesis - Kickoff Presentation 11
12 Overview 1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap Pickel: Master's Thesis - Kickoff Presentation 12
13 Solution Approach Quantitative Evaluation Literature Review Evaluation Related Work Implementation Concept Prototypical implementation Derive concept for similarity search Final Evaluation with Expert Interviews Pickel: Master's Thesis - Kickoff Presentation 13
14 Overview 1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap Pickel: Master's Thesis - Kickoff Presentation 14
15 Roadmap Jun. Jul. Aug. Sept. Oct. Nov. Dec. R1 Related Work R2 R3 C1 Derive Concept C2 C3 I1 Implementation I2 I3 E1 Evaluation E2 E3 Final Write Master s Thesis Completed In Progress Not Started Pickel: Master's Thesis - Kickoff Presentation 15
16 Thank you for your attention! Any Questions? Philipp Pickel Technische Universität München Department of Informatics Chair of Software Engineering for Business Information Systems Boltzmannstraße Garching bei München Tel Fax wwwmatthes.in.tum.de
17 References Francesconi, Enrico, et al. Semantic processing of legal texts: Where the language of law meets the law of language. Springer, juris GmbH. juris.de. [Online] [Zitat vom: ] Schweighofer, Erich; Winiwarter, Werner; Merkl, Dieter. Information filtering: the computation of similarities in large corpora of legal texts. In: Proceedings of the 5th international conference on Artificial intelligence and law. ACM, S Wesel, Uwe und Beck, Hans Dieter. 250 Jahre rechtswissenschaftlicher Verlag C.H.Beck: C.H.Beck, Winkels, Radboud, et al. Towards a Legal Recommender System. In: JURIX S Pickel: Master's Thesis - Kickoff Presentation 17
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