Popular GitHub Repositories for Offensive Language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.

A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.

Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).

KAREN: Unifying Hatespeech Detection and Benchmarking

Turkish Hate Speech Detection

Offensive language detection and sentiment analysis on Nepali text

This repository contains the system description and the codes that we implemented for participating in EACL-2021 shared tasks.

This repo present different classifiers on German Speech Act dataset. For BERT models, we implement such fine-tuning strategies as baseline, hyperparameter search and few-shot classification using Fasfit. For Gemini 1.5 Flash, Llama-3.2-3B and Llama3-German-8B, we perform parameter efficient fine-tuning.