Panggih Kusuma Ningrum, Philipp Mayr, Nina Smirnova, Iana Atanassova: Annotating scientific uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches, Journal of Informetrics,
Volume 19, Issue 2, 2025, ISSN 1751-1577.
https://doi.org/10.1016/j.joi.2025.101661
The authors present UnScientify, a system designed to detect scientific uncertainty in scholarly full text.
UnScientify, which employs more traditional techniques, achieved superior performance in the scientific uncertainty detection task, attaining an accuracy score of 0.808. This finding underscores the continued relevance and efficiency of UnScientify's simple rule-based and pattern matching strategy for this specific application. The results demonstrate that in scenarios where resource efficiency, interpretability, and domain-specific adaptability are critical, traditional methods can still offer significant advantages.