Papers by Christoph Kern

1 papers
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance (2023.findings-emnlp)

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Challenge: Using an annotation instrument, the design of the annotation instrument and the instructions given to annotators can impact training data.
Approach: They investigate the impact of an annotation instrument on training data . they collect hate speech and offensive language annotations in a tweet corpus .
Outcome: The proposed model performs better on holdout conditions than on the standard model.

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