Paper ID: 2210.16398

System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English

Marie Grace, Xajavion "Jay" Seabrum, Dananjay Srinivas, Alexis Palmer

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.

Submitted: Oct 28, 2022