System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English
Year: 2022
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Grace, Marie, Seabrum, Xajavion "Jay", Srinivas, Dananjay, Palmer, Alexis
Institution: University of Colorado Boulder
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4307926930