28 citations · 29 across the 6 of their papers we have counts for
6 papers
Bundesrecht: An Open Library and Corpus for German Statutory Reference Processing
Harshil Darji, Martin Heckelmann, Christina Kratsch +1
Statutory references are central to legal language understanding, but are difficult to process automatically, as they appear in compact and variable surface forms, may combine mult…
Segmentation and Processing of German Court Decisions from Open Legal Data
Harshil Darji, Martin Heckelmann, Christina Kratsch +1
The availability of structured legal data is important for advancing Natural Language Processing (NLP) techniques for the German legal system. One of the most widely used datasets,…
Investigating Sparsity in Recurrent Neural Networks
Harshil Darji
In the past few years, neural networks have evolved from simple Feedforward Neural Networks to more complex neural networks, such as Convolutional Neural Networks and Recurrent Neu…
Challenges and Considerations in Annotating Legal Data: A Comprehensive Overview
Harshil Darji, Jelena Mitrović, Michael Granitzer
The process of annotating data within the legal sector is filled with distinct challenges that differ from other fields, primarily due to the inherent complexities of legal languag…
German BERT Model for Legal Named Entity Recognition
Harshil Darji, Jelena Mitrović, Michael Granitzer
The use of BERT, one of the most popular language models, has led to improvements in many Natural Language Processing (NLP) tasks. One such task is Named Entity Recognition (NER) i…
Experiments on Properties of Hidden Structures of Sparse Neural Networks
Julian Stier, Harshil Darji, Michael Granitzer
Sparsity in the structure of Neural Networks can lead to less energy consumption, less memory usage, faster computation times on convenient hardware, and automated machine learning…