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

Text Page in Sebis Research News     rechtsinformatik legal informatics natural language processing contract analysis inproceedings text analytics german laws publication legal text analysis

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Classifying Legal Norms with Active Machine Learning

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,inproceedings,legal informatics,publication,rechtsinformatik Publication Key Wa17e File Wa17e.pdf

Applying Lexical Knowledge to Support Search and Navigation in Legal Databases

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Automated extraction of semantic information from german legal documents

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

Publication in Sebis Public Website     rechtsinformatik legal informatics contract analysis inproceedings text analytics german laws publication legal text analysis

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

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

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

Publication in Sebis Public Website     rechtsinformatik legal informatics natural language processing contract analysis inproceedings text analytics german laws publication legal text analysis

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

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german laws,inproceedings,legal informatics,publication,rechtsinformatik Publication Type of

Extending Thesauri Using Word Embeddings and the Intersection Method

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Data Accountability in Socio-Technical Systems

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