3 papers
cs.CL2024
Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
Urja Khurana, Eric Nalisnick, Antske Fokkens +1
Subjective tasks in NLP have been mostly relegated to objective standards, where the gold label is decided by taking the majority vote. This obfuscates annotator disagreement and t…
cs.CL2023
Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation
Lea Krause, Selene Báez Santamaría, Michiel van der Meer +1
This paper discusses our approaches for task-oriented conversational modelling using subjective knowledge, with a particular emphasis on response generation. Our methodology was sh…
cs.CL2022
Hate Speech Criteria: A Modular Approach to Task-Specific Hate Speech Definitions
Urja Khurana, Ivar Vermeulen, Eric Nalisnick +2
\textbf{Offensive Content Warning}: This paper contains offensive language only for providing examples that clarify this research and do not reflect the authors' opinions. Please b…