no code implementations • GermEval 2021 • Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand
We present the GermEval 2021 shared task on the identification of toxic, engaging, and fact-claiming comments.
no code implementations • 29 Oct 2020 • Martin von Kurnatowski, Jochen Schmid, Patrick Link, Rebekka Zache, Lukas Morand, Torsten Kraft, Ingo Schmidt, Anke Stoll
In this article, a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the form of shape constraints, or more specifically, monotonicity constraints, is presented.
no code implementations • 12 Oct 2020 • Anke Stoll, Peter Benner
This study also gives an application of machine learning methods on small punch test data for the determination of the property ultimate tensile strength for various materials.
no code implementations • SEMEVAL 2019 • Alex Oberstrass, er, Julia Romberg, Anke Stoll, Stefan Conrad
We present our results for OffensEval: Identifying and Categorizing Offensive Language in Social Media (SemEval 2019 - Task 6).