34 citations · 90 across the 10 of their papers we have counts for
11 papers
HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information
Qian Ruan, Malte Ostendorff, Georg Rehm
Transformer-based language models usually treat texts as linear sequences. However, most texts also have an inherent hierarchical structure, i.e., parts of a text can be identified…
Evaluating Document Representations for Content-based Legal Literature Recommendations
Malte Ostendorff, Elliott Ash, Terry Ruas +3
Recommender systems assist legal professionals in finding relevant literature for supporting their case. Despite its importance for the profession, legal applications do not reflec…
ARQMath Lab: An Incubator for Semantic Formula Search in zbMATH Open?
Philipp Scharpf, Moritz Schubotz, Andre Greiner-Petter +3
The zbMATH database contains more than 4 million bibliographic entries. We aim to provide easy access to these entries. Therefore, we maintain different index structures, including…
Aspect-based Document Similarity for Research Papers
Malte Ostendorff, Terry Ruas, Till Blume +2
Traditional document similarity measures provide a coarse-grained distinction between similar and dissimilar documents. Typically, they do not consider in what aspects two document…
Contextual Document Similarity for Content-based Literature Recommender Systems
Malte Ostendorff
To cope with the ever-growing information overload, an increasing number of digital libraries employ content-based recommender systems. These systems traditionally recommend relate…
Towards an Open Platform for Legal Information
Malte Ostendorff, Till Blume, Saskia Ostendorff
Recent advances in the area of legal information systems have led to a variety of applications that promise support in processing and accessing legal documents. Unfortunately, thes…