Classifying Legal Norms with Active Machine Learning. - Bernhard Waltl; Johannes Muhr; Ingo Glaser; Georg Bonczek; Elena Scepankova; Florian Matthes (JURIX, 2017)

Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification. - Ahmed Elnaggar; Christoph Gebendorfer; Ingo Glaser; Florian Matthes (AICCC, 2018)

Stop Illegal Comments: A Multi-Task Deep Learning Approach. - Ahmed Elnaggar; Bernhard Waltl; Ingo Glaser; Jörg Landthaler; Elena Scepankova; Florian Matthes (AICCC, 2018)

Classifying Semantic Types of Legal Sentences: Portability of Machine Learning Models. - Ingo Glaser; Elena Scepankova; Florian Matthes (JURIX, 2018)

Towards Explainable Semantic Text Matching. - Jörg Landthaler; Ingo Glaser; Florian Matthes (JURIX, 2018)

Towards Computer-aided Analysis of Readability and Comprehensibility of Patient Information in the Context of Clinical Research Projects. - Ingo Glaser; Georg Bonczek; Jörg Landthaler; Florian Matthes (ICAIL, 2019)

Classification of German Court Rulings: Detecting the Area of Law. - Ingo Glaser; Florian Matthes (ASAIL@JURIX, 2020)

Summarization of German Court Rulings. - Ingo Glaser; Sebastian Moser; Florian Matthes (NLLP@EMNLP, 2021)

Improving Legal Information Retrieval: Metadata Extraction and Segmentation of German Court Rulings. - Ingo Glaser; Sebastian Moser; Florian Matthes (KDIR, 2021)

Sentence Boundary Detection in German Legal Documents. - Ingo Glaser; Sebastian Moser; Florian Matthes (ICAART (2), 2021)

Anonymization of german legal court rulings. - Ingo Glaser; Tom Schamberger; Florian Matthes (ICAIL, 2021)

Data Scarcity: Methods to Improve the Quality of Text Classification. - Ingo Glaser; Shabnam Sadegharmaki; Basil Komboz; Florian Matthes (ICPRAM, 2021)

Generation of Legal Norm Chains: Extracting the Most Relevant Norms from Court Rulings. - Ingo Glaser; Sebastian Moser; Florian Matthes (JURIX, 2021)