J
Jörg Landthaler
Researcher at Technische Universität München
Publications - 14
Citations - 110
Jörg Landthaler is an academic researcher from Technische Universität München. The author has contributed to research in topics: Enterprise architecture & Deep learning. The author has an hindex of 7, co-authored 14 publications receiving 89 citations.
Papers
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Book ChapterDOI
Predicting the Outcome of Appeal Decisions in Germany’s Tax Law
TL;DR: This work states that prior court decisions become more and more important in various legal domains of Germany’s jurisdiction, e.g., tax law.
Proceedings ArticleDOI
Extending Full Text Search for Legal Document Collections Using Word Embeddings
TL;DR: This paper explores a novel method that provides the ability to find not only exact matches, but also semantically similar parts for arbitrary length search queries without the application of ontologies, but based on Word Embeddings.
Proceedings ArticleDOI
Stop Illegal Comments: A Multi-Task Deep Learning Approach
TL;DR: This article investigated the transfer learning capabilities of such a multi-task model on a classification task on the publicly available Kaggle toxic comment dataset for classifying illegal comments and reported promising results.
Automated Extraction of Semantic Information from German Legal Documents
Bernhard Waltl,Jörg Landthaler,Elena Scepankova,Florian Matthes,Thomas Geiger,Christoph Stocker,Christian Schneider +6 more
Book ChapterDOI
Data Accountability in Socio-Technical Systems
TL;DR: Data-accountability encompasses responsibility for data and the traceability of data flows and can be supported by the integration of accountability mechanisms at design time.