| Universität Regensburg MaxS at GermEval 2021 Task 1: Synthetic Data in Toxic Comment Classification | Sep 1, 2021 | ClassificationToxic Comment Classification | —Unverified | 0 |
| NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers | Jul 1, 2024 | Occupation predictionSentiment Analysis | CodeCode Available | 0 |
| Convolutional Neural Networks for Toxic Comment Classification | Feb 27, 2018 | ClassificationCloud Computing | CodeCode Available | 0 |
| FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning | Sep 7, 2021 | Classification of toxic, engaging, fact-claiming commentsEngaging Comment Classification | CodeCode Available | 0 |
| Evaluating The Effectiveness of Capsule Neural Network in Toxic Comment Classification using Pre-trained BERT Embeddings | Oct 12, 2023 | Multilingual NLPNatural Language Understanding | CodeCode Available | 0 |
| Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification | Jul 2, 2020 | BIG-bench Machine LearningData Augmentation | CodeCode Available | 0 |
| A benchmark for toxic comment classification on Civil Comments dataset | Jan 26, 2023 | Toxic Comment Classification | CodeCode Available | 0 |
| Is preprocessing of text really worth your time for online comment classification? | Jun 7, 2018 | General ClassificationToxic Comment Classification | CodeCode Available | 0 |
