14 citations · 31 across the 28 of their papers we have counts for
4 papers · 1 filter
A Text-to-Text Model for Multilingual Offensive Language Identification
Tharindu Ranasinghe, Marcos Zampieri
The ubiquity of offensive content on social media is a growing cause for concern among companies and government organizations. Recently, transformer-based models such as BERT, XLNE…
SurreyAI 2023 Submission for the Quality Estimation Shared Task
Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan +1
Quality Estimation (QE) systems are important in situations where it is necessary to assess the quality of translations, but there is no reference available. This paper describes t…
Offensive Language Identification in Transliterated and Code-Mixed Bangla
Md Nishat Raihan, Umma Hani Tanmoy, Anika Binte Islam +4
Identifying offensive content in social media is vital for creating safe online communities. Several recent studies have addressed this problem by creating datasets for various lan…
Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe +3
Offensive speech detection is a key component of content moderation. However, what is offensive can be highly subjective. This paper investigates how machine and human moderators d…