3 citations · 5 across the 4 of their papers we have counts for
7 papers
A Feature Extraction based Model for Hate Speech Identification
Salar Mohtaj, Vera Schmitt, Sebastian Möller
The detection of hate speech online has become an important task, as offensive language such as hurtful, obscene and insulting content can harm marginalized people or groups. This…
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
In the language domain, as in other domains, neural explainability takes an ever more important role, with feature attribution methods on the forefront. Many such methods require c…
Towards Human-Free Automatic Quality Evaluation of German Summarization
Neslihan Iskender, Oleg Vasilyev, Tim Polzehl +2
Evaluating large summarization corpora using humans has proven to be expensive from both the organizational and the financial perspective. Therefore, many automatic evaluation metr…
Efficient Explanations from Empirical Explainers
Robert Schwarzenberg, Nils Feldhus, Sebastian Möller
Amid a discussion about Green AI in which we see explainability neglected, we explore the possibility to efficiently approximate computationally expensive explainers. To this end,…
Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms
Babak Naderi, Gabriel Mittag, Rafael Zequeira Jim\a'enez +1
Speech communication systems based on Voice-over-IP technology are frequently used by native as well as non-native speakers of a target language, e.g. in international phone calls…
Fine-grained linguistic evaluation for state-of-the-art Machine Translation
Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel +2
This paper describes a test suite submission providing detailed statistics of linguistic performance for the state-of-the-art German-English systems of the Fifth Conference of Mach…