62 citations · 274 across the 31 of their papers we have counts for
3 papers · 1 filter
Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification
Ahmed Elnaggar, Christoph Gebendorfer, Ingo Glaser +1
The digitalization of the legal domain has been ongoing for a couple of years. In that process, the application of different machine learning (ML) techniques is crucial. Tasks such…
Named-Entity Linking Using Deep Learning For Legal Documents: A Transfer Learning Approach
Ahmed Elnaggar, Robin Otto, Florian Matthes
In the legal domain it is important to differentiate between words in general, and afterwards to link the occurrences of the same entities. The topic to solve these challenges is c…
Stop Illegal Comments: A Multi-Task Deep Learning Approach
Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser +3
Deep learning methods are often difficult to apply in the legal domain due to the large amount of labeled data required by deep learning methods. A recent new trend in the deep lea…