TL;DR
MUDES is a multilingual system designed to detect offensive spans in texts, featuring pre-trained models, a Python API, and a web interface to aid social media content moderation.
Contribution
It introduces a comprehensive multilingual system for offensive span detection, including models, API, and interface, advancing beyond post-level annotation methods.
Findings
Effective detection of offensive spans across multiple languages
Provides accessible tools for developers and users
Enhances social media moderation capabilities
Abstract
The interest in offensive content identification in social media has grown substantially in recent years. Previous work has dealt mostly with post level annotations. However, identifying offensive spans is useful in many ways. To help coping with this important challenge, we present MUDES, a multilingual system to detect offensive spans in texts. MUDES features pre-trained models, a Python API for developers, and a user-friendly web-based interface. A detailed description of MUDES' components is presented in this paper.
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