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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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Differentiation and Empirical Analysis of Reference Types in Legal Documents

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,inproceedings,legal informatics,publication,rechtsinformatik Publication Citation Bernhard Waltl / Jörg

Extending Thesauri Using Word Embeddings and the Intersection Method

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LEXIA - A Data Science Environment for Semantic Analysis of German Legal Texts

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Hide german laws,inproceedings,legal informatics,publication,rechtsinformatik Publication Title of publication Conference Published in 19. Internationales Rechtsinformatik Symposium File Wa16b.pdf , IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2016 Authors Dr. Bernhard Waltl

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