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Automated extraction of semantic information from german legal documents

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Data Accountability in Socio-Technical Systems

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

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Extending Full Text Search for Legal Document Collections using Word Embeddings

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Towards Measures of Complexity - Applying Structural and Linguistic Metrics to German Laws

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

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Comparison of Law Texts - An Analysis of German and Austrian Legislation regarding Linguistic and Structural Metrics

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Extending Thesauri Using Word Embeddings and the Intersection Method

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Classifying Legal Norms with Active Machine Learning

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

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