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