System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English
Computation and Language
2022-11-01 v1 Artificial Intelligence
Abstract
The automatic detection of offensive language is a pressing societal need. Many systems perform well on explicit offensive language but struggle to detect more complex, nuanced, or implicit cases of offensive and hateful language. OLEA is an open-source Python library that provides easy-to-use tools for error analysis in the context of detecting offensive language in English. OLEA also provides an infrastructure for re-distribution of new datasets and analysis methods requiring very little coding.
Keywords
Cite
@article{arxiv.2210.16398,
title = {System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English},
author = {Marie Grace and Xajavion "Jay" Seabrum and Dananjay Srinivas and Alexis Palmer},
journal= {arXiv preprint arXiv:2210.16398},
year = {2022}
}
Comments
Source code and library download available on PyPI : https://pypi.org/project/olea/