SOTAVerified

Toxic Comment Classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–28 of 28 papers

TitleStatusHype
PyTorch Frame: A Modular Framework for Multi-Modal Tabular LearningCode4
Trojaning Language Models for Fun and ProfitCode1
From Hero to Zéroe: A Benchmark of Low-Level Adversarial AttacksCode1
Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified FormatCode1
From Hero to Z\'eroe: A Benchmark of Low-Level Adversarial AttacksCode1
Challenges for Toxic Comment Classification: An In-Depth Error Analysis—0
Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese—0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
Detecting Aggression and Toxicity using a Multi Dimension Capsule Network—0
DeTox at GermEval 2021: Toxic Comment Classification—0
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features—0
Vietnamese Complaint Detection on E-Commerce Websites—0
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers—0
Applying LLMs to Active Learning: Towards Cost-Efficient Cross-Task Text Classification without Manually Labeled Data—0
A Survey of Toxic Comment Classification Methods—0
Beyond Toxic: Toxicity Detection Datasets are Not Enough for Brand Safety—0
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models—0
IRCologne at GermEval 2021: Toxicity Classification—0
Revisiting Contextual Toxicity Detection in Conversations—0
SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms"—0
Universität Regensburg MaxS at GermEval 2021 Task 1: Synthetic Data in Toxic Comment Classification—0
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP ClassifiersCode0
Convolutional Neural Networks for Toxic Comment ClassificationCode0
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learningCode0
Evaluating The Effectiveness of Capsule Neural Network in Toxic Comment Classification using Pre-trained BERT EmbeddingsCode0
Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment ClassificationCode0
A benchmark for toxic comment classification on Civil Comments datasetCode0
Is preprocessing of text really worth your time for online comment classification?Code0
Show:102550

No leaderboard results yet.