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Toxic Comment Classification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
Evaluating The Effectiveness of Capsule Neural Network in Toxic Comment Classification using Pre-trained BERT Embeddings
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
PaLM 2 Technical Report
Beyond Toxic: Toxicity Detection Datasets are Not Enough for Brand Safety
A benchmark for toxic comment classification on Civil Comments dataset
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers
A Survey of Toxic Comment Classification Methods
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models
Revisiting Contextual Toxicity Detection in Conversations
FHAC at GermEval 2021: Identifying German toxic, engaging, and fact-claiming comments with ensemble learning
SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms"
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features
Vietnamese Complaint Detection on E-Commerce Websites
Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
Trojaning Language Models for Fun and Profit
Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification
Challenges for Toxic Comment Classification: An In-Depth Error Analysis
Is preprocessing of text really worth your time for online comment classification?
Convolutional Neural Networks for Toxic Comment Classification
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