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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

informatics,legal text analysis,natural language processing,publication,rechtsinformatik,text analytics Text Page /Sebis Research News/_

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

Publication Abstract The semantic knowledge revealed by the continuously increasing amount of contract analysis,german laws,inproceedings,legal informatics,legal text analysis,publication ,rechtsinformatik,text analytics Publication Acronym IRIS 2018 Year 2018 Published in Tagungsband IRIS Salzburg, Österreich Type of publication Conference Citation Glaser, I.; Waltl, B.; Matthes, F Rechtsinformatik Symposium, Salzburg, Austria, 2018 Publication URL https://jusletter-it.weblaw.ch

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

Publication Legal contract analysis is an important research area. The classification of clauses or ,natural language processing,publication,rechtsinformatik,text analytics Publication Key Type of publication Conference Research project Modeling, Semantic Analysis, and Generation of Legal Scepankova Prof. Dr. Florian Matthes Published in Jurix 2018 Year 2018 Publication URL http://ebooks.iospress.nl/volumearticle/50835 /Sebis Public Website/_