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Demystifying Big Data Adoption Beyond IT Fashion and Relative Advantage

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Classifying Legal Norms with Active Machine Learning

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Predicting the Outcome of Appeal Decisions in Germany’s Tax Law

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the text Show below the text Hide german laws,inproceedings,legal informatics,publication ,rechtsinformatik Publication Citation Waltl, B.; Bonczek, G.; Scepankova, E.; Landthaler, J.; Matthes, F

Unveiling References in Legal Texts - Implicit versus Explicit Network Structures

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,inproceedings,legal informatics,publication,rechtsinformatik Publication Year 2016 Published in 19 . Internationales Rechtsinformatik Symposium Research project Citation Landthaler, J.; Waltl, B.; Matthes, F : Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2016 Key La16 Acronym IRIS 2016 Address

Paper on Classifying Semantic Types of Legal Sentences - Portability of Machine Learning Models has been accepted at Jurix 2018

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Rule-based Information Extraction - Advantages, Limitations, and Perspectives

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Classifying Semantic Types of Legal Sentences - Portability of Machine Learning Models

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Data Accountability in Socio-Technical Systems

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Multi-level Event And Anomaly Correlation Based on Enterprise Architecture Information

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the text Show below the text Hide german laws,inproceedings,legal informatics,publication ,rechtsinformatik Publication File La16b.pdf Year 2016 Authors Dr. Jörg Landthaler Dr. Martin Kleehaus Prof

Process and Tool-support to Collaboratively Formalize Statutory Texts by Executable Models

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