System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English
Grace, Marie, Xajavion Seabrum, Dananjay Srinivas, Alexis Palmer · arXiv (Cornell University) · 2022
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.