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Named Entity Recognition, Extraction, and Linking in German Legal Contracts

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contract analysis,german laws,inproceedings,legal informatics,legal text analysis,publication ,rechtsinformatik,text analytics Publication Acronym IRIS 2018 Year 2018 Published in Tagungsband IRIS Rechtsinformatik Symposium, Salzburg, Austria, 2018 Publication URL https://jusletter-it.weblaw.ch

Demystifying Big Data Adoption Beyond IT Fashion and Relative Advantage

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

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Classifying Legal Norms with Active Machine Learning

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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

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

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

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

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Amazon in the Air Innovating with Big Data at Lufthansa

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