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Prototypical Implementation and Assessment of Relatedness Search in - - PowerPoint PPT Presentation

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Prototypical Implementation and Assessment of Relatedness Search in Laws, Judgments and Commentaries Masters Thesis Kickoff Presentation Philipp Pickel, 27.06.2016 Software Engineering for Business Information Systems (sebis) Department

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Software Engineering for Business Information Systems (sebis) Department of Informatics Technische Universität München, Germany wwwmatthes.in.tum.de

Prototypical Implementation and Assessment of Relatedness Search in Laws, Judgments and Commentaries

Master’s Thesis – Kickoff Presentation Philipp Pickel, 27.06.2016

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1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap

Overview

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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

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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

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Motivation

  • Google Image Search
  • Input: picture
  • Output: similar pictures, information about the picture

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1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap

Overview

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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)

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1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap

Overview

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Problem Statement

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What determines relatedness in legal documents? How can a system recognize these relations? In which way can this knowledge be presented to a user?

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1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap

Overview

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Literature Review

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Functional Technical

Similarity and Relatedness of Texts Recommender Systems in the legal domain Regular Expressions Pattern Matching Bag-of-words Word Vectors POS NER

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1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap

Overview

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Solution Approach

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  • Derive concept

for similarity search

  • Prototypical

implementation

  • Literature

Review

  • Quantitative

Evaluation Evaluation Related Work Concept Imple- mentation

Final Evaluation with Expert Interviews

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1. Motivation 2. Dataset 3. Problem Statement 4. Literature Review 5. Solution Approach 6. Roadmap

Overview

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Roadmap

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Jun. Jul. Aug. Sept. Oct. Nov. Dec.

Write Master‘s Thesis Evaluation Derive Concept Implementation Related Work

Completed In Progress Not Started

Final E3 E2 E1 R1 I3 I2 I1 C3 C2 C1 R3 R2

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Technische Universität München Department of Informatics Chair of Software Engineering for Business Information Systems Boltzmannstraße 3 85748 Garching bei München Tel +49.89.289. Fax +49.89.289.17136 wwwmatthes.in.tum.de

Thank you for your attention! Any Questions?

Philipp Pickel

philipp.pickel@tum.de

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References

  • Francesconi, Enrico, et al. Semantic processing of legal texts: Where the

language of law meets the law of language. Springer, 2010.

  • juris GmbH. juris.de. [Online] [Zitat vom: 20. 06 2016.] http://www.juris.de.
  • 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, 1995. S. 119-126.

  • Wesel, Uwe und Beck, Hans Dieter. 250 Jahre rechtswissenschaftlicher

Verlag C.H.Beck: 1763-2013. C.H.Beck, 2015.

  • Winkels, Radboud, et al. Towards a Legal Recommender System. In: JURIX.
  • 2014. S. 169-178.

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