10 citations · 11 across the 3 of their papers we have counts for
3 papers · 1 filter
Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models
Zein Shaheen, Gerhard Wohlgenannt, Dmitry Mouromtsev
Zero-shot cross-lingual transfer is an important feature in modern NLP models and architectures to support low-resource languages. In this work, We study zero-shot cross-lingual tr…
Large Scale Legal Text Classification Using Transformer Models
Zein Shaheen, Gerhard Wohlgenannt, Erwin Filtz
Large multi-label text classification is a challenging Natural Language Processing (NLP) problem that is concerned with text classification for datasets with thousands of labels. W…
Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural Architectures
Zein Shaheen, Gerhard Wohlgenannt, Bassel Zaity +2
Generating coherent, grammatically correct, and meaningful text is very challenging, however, it is crucial to many modern NLP systems. So far, research has mostly focused on Engli…