2025 ACL ACL 2025

ReproHum #0669-08: Reproducing Sentiment Transfer Evaluation

Abstract

AbstractWe describe a reproduction of a human annotation experiment that was performed to evaluate the effectiveness of text style transfer systems (Reif et al., 2021). Despite our efforts to closely imitate the conditions of the original study, the results obtained differ significantly from those in the original study. We performed a statistical analysis of the results obtained, discussed the sources of these discrepancies in the study design, and quantified reproducibility. The reproduction followed the common approach to reproduction adopted by the ReproHum project.

🧭 Keyword Pioneer — sentiment transfer
🐝 Cross-Pollinator — Artificial Intelligence, Deep Learning, Machine Learning, Natural Language Processing, Reinforcement Learning
🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing