25 citations · 179 across the 54 of their papers we have counts for
5 papers · 1 filter
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting
Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell +1
Due to the large amount of daily scientific publications, it is impossible to manually review each one. Therefore, an automatic extraction of key information is desirable. In this…
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers
Steffen Epp, Marcel Hoffmann, Nicolas Lell +2
A common writing style for statistical results are the recommendations of the American Psychology Association, known as APA-style. However, in practice, writing styles vary as repo…
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text
Florian Mai, Lukas Galke, Ansgar Scherp
For (semi-)automated subject indexing systems in digital libraries, it is often more practical to use metadata such as the title of a publication instead of the full-text or the ab…
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation
Lukas Galke, Florian Mai, Alan Schelten +2
A significant part of the largest Knowledge Graph today, the Linked Open Data cloud, consists of metadata about documents such as publications, news reports, and other media articl…
Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles? - An Extended Technical Report
Chifumi Nishioka, Ansgar Scherp
So far it is unclear how different factors of a scientific publication recommender system based on users' tweets have an influence on the recommendation performance. We examine thr…