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pro vyhledávání: '"Schneider, Gerold"'
Hate speech detection models are only as good as the data they are trained on. Datasets sourced from social media suffer from systematic gaps and biases, leading to unreliable models with simplistic decision boundaries. Adversarial datasets, collecte
Externí odkaz:
http://arxiv.org/abs/2403.19559
Autor:
Ronan, Patricia, Schneider, Gerold
The present study asks if ChatGPT4, the version of ChatGPT which uses the language model GPT4, can successfully solve introductory linguistic exams. Previous exam questions of an Introduction to Linguistics course at a German university are used to t
Externí odkaz:
http://arxiv.org/abs/2311.02499
Autor:
Uluslu, Ahmet Yavuz, Schneider, Gerold
In this paper, we present the first application of Native Language Identification (NLI) for the Turkish language. NLI involves predicting the writer's first language by analysing their writing in different languages. While most NLI research has focus
Externí odkaz:
http://arxiv.org/abs/2307.14850
Autor:
Uluslu, Ahmet Yavuz, Schneider, Gerold
This paper presents the first comprehensive study on automatic readability assessment of Turkish texts. We combine state-of-the-art neural network models with linguistic features at lexical, morphosyntactic, syntactic and discourse levels to develop
Externí odkaz:
http://arxiv.org/abs/2306.03774
Most research on hate speech detection has focused on English where a sizeable amount of labeled training data is available. However, to expand hate speech detection into more languages, approaches that require minimal training data are needed. In th
Externí odkaz:
http://arxiv.org/abs/2306.03722
Autor:
Winhard, Benedikt F., Haida, Philipp, Plunkett, Alexander, Katz, Julian, Domènech, Berta, Abetz, Volker, Furlan, Kaline P., Schneider, Gerold A.
Additive manufacturing of shape memory polymers has gained tremendous interest in recent years due to their versatile potential applications in various industries, such as biomedicine and aerospace. However, the polymers' mechanical properties, speci
Externí odkaz:
http://arxiv.org/abs/2303.09326
Autor:
Uluslu, Ahmet Yavuz, Schneider, Gerold
Native language identification (NLI) is the task of automatically identifying the native language (L1) of an individual based on their language production in a learned language. It is useful for a variety of purposes including marketing, security and
Externí odkaz:
http://arxiv.org/abs/2211.10117
Autor:
Goldzycher, Janis, Schneider, Gerold
Standard approaches to hate speech detection rely on sufficient available hate speech annotations. Extending previous work that repurposes natural language inference (NLI) models for zero-shot text classification, we propose a simple approach that co
Externí odkaz:
http://arxiv.org/abs/2210.00910
Autor:
Neumann, Marc, Michon, Kacper, Endler, Dirk, Zienert, Tilo, Jelitto, Hans, Schneider, Gerold A., Aneziris, Christos G.
Publikováno v:
In Journal of the European Ceramic Society September 2023 43(11):5026-5031