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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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Lexalyze - Interdisciplinary Research Program

Research Project in /Sebis Public Website/Research/Completed Research Projects/Completed NLP Projects  last modified Nov 28, 2022 by Anum Afzal.    legal rechtsinformatik legal drafting laws contracts legal engineering text analytics compliance

Learning, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2019 [La19a] Landthaler, J Tenancy Law, IRIS: Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2019 2018 [Gl18b] : Advantages, Limitations, and Perspectives, IRIS: Internationales Rechtsinformatik Symposium : Internationales Rechtsinformatik Symposium, Salzburg, Austria, 2018 (nominated for LexisNexis best paper award) contract clauses and legal comments in tenancy law, IRIS: Internationales Rechtsinformatik Symposium

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

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,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

Explainable Artificial Intelligence – the New Frontier in Legal Informatics

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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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Automated extraction of semantic information from german legal documents

Publication in Sebis Public Website     rechtsinformatik legal informatics inproceedings german laws publication

,rechtsinformatik Publication Research project Semantic Analysis of Legal Texts Authors Dr information from german legal documents, IRIS: Internationales Rechtsinformatik Symposium, Salzburg

Applying Lexical Knowledge to Support Search and Navigation in Legal Databases

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below the text Hide german laws,inproceedings,legal informatics,publication,rechtsinformatik Search and Navigation in Legal Databases, IRIS: Internationales Rechtsinformatik Symposium, Salzburg in 19. Internationales Rechtsinformatik Symposium Research project File Wa16a.pdf Acronym IRIS 2016

Extending Full Text Search for Legal Document Collections using Word Embeddings

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,rechtsinformatik Publication Year 2016 Research project Title Extending Full Text Search for

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

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