no code implementations • NoDaLiDa 2021 • Manfred Klenner, Anne Göhring, Sophia Conrad
In this paper, we introduce the first corpus specifying negative entities within sentences.
no code implementations • LREC 2022 • Manfred Klenner, Anne Göhring
In this paper, we introduce a gold standard for animacy detection comprising almost 14, 500 German nouns that might be used to denote either animate entities or non-animate entities.
no code implementations • LREC 2022 • Anne Göhring, Manfred Klenner
In this paper, we discuss work that strives to measure the degree of negativity - the negative polar load - of noun phrases, especially those denoting actors.
no code implementations • WS 2017 • Manfred Klenner, Don Tuggener, Simon Clematide
We argue that in order to detect stance, not only the explicit attitudes of the stance holder towards the targets are crucial.
no code implementations • LREC 2016 • Manfred Klenner, Michael Amsler
In this paper, a German verb resource for verb-centered sentiment inference is introduced and evaluated.
no code implementations • LREC 2012 • Simon Clematide, Stefan Gindl, Manfred Klenner, Stefanos Petrakis, Robert Remus, Josef Ruppenhofer, Ulli Waltinger, Michael Wiegand
The construction of the corpus is based on the manual annotation of 270 German-language sentences considering three different layers of granularity.