1 code implementation • IWCS (ACL) 2021 • Neele Falk, Yana Strakatova, Eva Huber, Erhard Hinrichs
In order to safeguard against unwelcome memorization effects, we present an automatic data augmentation method based on a lexical resource that can increase the size of the training data to a large extent.
no code implementations • GWC 2019 • Eva Huber, Erhard Hinrichs
With this project, we make a start on changing this by including one variety, namely Swiss Standard German, into GermaNet.
no code implementations • LREC 2020 • Eva Huber, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin
And third, we test the original system on a different dataset and a different language.