4 papers
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Wei Ding, Llion Jones +6
Currently, a growing number of mature natural language processing applications make people's life more convenient. Such applications are built by source code - the language in soft…
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…