1 code implementation • WS 2018 • Jan Milan Deriu, Mark Cieliebak
In this work, we present our system for Natural Language Generation where we control various aspects of the surface realization in order to increase the lexical variability of the utterances, such that they sound more diverse and interesting.
1 code implementation • SEMEVAL 2017 • Jan Milan Deriu, Mark Cieliebak
In this paper we propose a system for reranking answers for a given question.
no code implementations • WS 2017 • Jan Milan Deriu, Martin Weilenmann, Dirk Von Gruenigen, Mark Cieliebak
In this paper we investigate the cross-domain performance of a current state-of-the-art sentiment analysis systems.
no code implementations • WS 2017 • Mark Cieliebak, Jan Milan Deriu, Dominic Egger, Fatih Uzdilli
We use this new corpus and two existing corpora to provide state-of-the-art benchmarks for sentiment analysis in German: we implemented a CNN (based on the winning system of SemEval-2016) and a feature-based SVM and compare their performance on all three corpora.