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

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Extending Thesauri Using Word Embeddings and the Intersection Method

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Amazon in the Air Innovating with Big Data at Lufthansa

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Extending Full Text Search for Legal Document Collections using Word Embeddings

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Demystifying Big Data Adoption Beyond IT Fashion and Relative Advantage

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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

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

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Automated extraction of semantic information from german legal documents

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

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

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