Search Results for author: Fabian Haak

Found 4 papers, 1 papers with code

IRCologne at GermEval 2021: Toxicity Classification

no code implementations GermEval 2021 Fabian Haak, Björn Engelmann

In this paper, we describe the TH Köln’s submission for the Shared Task on the Identification of Toxic Comments at GermEval 2021.

Classification Language Modelling +1

The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias

1 code implementation26 Dec 2023 Timo Spinde, Smi Hinterreiter, Fabian Haak, Terry Ruas, Helge Giese, Norman Meuschke, Bela Gipp

However, we have identified a lack of interdisciplinarity in existing projects, and a need for more awareness of the various types of media bias to support methodologically thorough performance evaluations of media bias detection systems.

Bias Detection

$Q_{bias}$ -- A Dataset on Media Bias in Search Queries and Query Suggestions

no code implementations29 Nov 2023 Fabian Haak, Philipp Schaer

We use $Q_{bias}$ to evaluate different approaches to fine-tuning transformer-based language models with the goal of producing models capable of biasing text with left and right political stance.

Text Simplification of Scientific Texts for Non-Expert Readers

no code implementations7 Jul 2023 Björn Engelmann, Fabian Haak, Christin Katharina Kreutz, Narjes Nikzad Khasmakhi, Philipp Schaer

Text simplification is the task of rephrasing a text to better cater to the abilities of a specific target reader group.

Text Simplification

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