no code implementations • SEMEVAL 2019 • Albin Zehe, Lena Hettinger, Stefan Ernst, Christian Hauptmann, Andreas Hotho
This paper describes our system for the SemEval 2019 Task 4 on hyperpartisan news detection.
no code implementations • SEMEVAL 2018 • Lena Hettinger, Alex Dallmann, er, Albin Zehe, Thomas Niebler, Andreas Hotho
In this paper we describe our system for SemEval-2018 Task 7 on classification of semantic relations in scientific literature for clean (subtask 1. 1) and noisy data (subtask 1. 2).
no code implementations • 16 Apr 2018 • Lena Hettinger, Alexander Dallmann, Albin Zehe, Thomas Niebler, Andreas Hotho
Due to these changes Classification of Relations using Embeddings (ClaiRE) achieved an improved F1 score of 75. 11% for the first subtask and 81. 44% for the second.
no code implementations • 28 Nov 2016 • Fotis Jannidis, Isabella Reger, Albin Zehe, Martin Becker, Lena Hettinger, Andreas Hotho
With regard to a computational representation of literary plot, this paper looks at the use of sentiment analysis for happy ending detection in German novels.