1 code implementation • 20 Aug 2021 • David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger
To the best of our knowledge, SoMeSci is the most comprehensive corpus about software mentions in scientific articles, providing training samples for Named Entity Recognition, Relation Extraction, Entity Disambiguation, and Entity Linking.
no code implementations • 24 Mar 2020 • David Schindler, Benjamin Zapilko, Frank Krüger
In this paper, we present SoftwareKG - a knowledge graph that contains information about software mentions from more than 51, 000 scientific articles from the social sciences.
Ranked #1 on Named Entity Recognition (NER) on SoSciSoCi
no code implementations • 8 Apr 2019 • Max Schröder, Frank Krüger, Sascha Spors
To empirically confirm this, we have been systematically analysing research publications that also published their investigations as Jupyter notebooks.
Digital Libraries
no code implementations • 18 Apr 2018 • Stefan Lüdtke, Max Schröder, Frank Krüger, Sebastian Bader, Thomas Kirste
Furthermore, we provide new high-level categories that classify the approaches, based on common properties of the approaches.
no code implementations • 20 Jul 2017 • Max Schröder, Stefan Lüdtke, Sebastian Bader, Frank Krüger, Thomas Kirste
We sketch a novel inference algorithm that provides a solution by incorporating concepts from Lifted Inference algorithms, Probabilistic Multiset Rewriting Systems, and Computational State Space Models.