Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification (original) (raw)

Toxic Comment Classification Using Neural Networks and Machine Learning

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International Advanced Research Journal in Science, Engineering and Technology, 2018

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Convolutional Neural Networks for Toxic Comment Classification

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Toxic Comments Identification and Classification Using Deep Neural Networks

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An Intense Study of Machine Learning Research Approach to Identify Toxic Comments

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A Comparative Study of Using Pre-trained Language Models for Toxic Comment Classification

Ziqi Zhang

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A little goes a long way: Improving toxic language classification despite data scarcity

Tommi Gröndahl

arXiv (Cornell University), 2020

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Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification

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An Improved Multi-Labeled LSTM Toxic Comment Classification

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IJERT-Multilabel Toxic Comment Detection and Classification

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Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection

Ameya Vaidya

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UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming Comments

Bernd Ludwig

2021

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A Semi-Supervised Approach to Detect Toxic Comments

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IJERT-Audio and Video Toxic Comments Detection and Classification

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Toxic Comments Classification using Knowledge Distillation

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Shadman Ahmad Nafee, 2023

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An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection within Online Textual Comments

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Defending Digital Discourse: Developing a Toxic Comment Classifier for Fostering Healthy Online Communities

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International Journal of Computer Science and Engineering, 2024

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Derogatory Comment Classification

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IRJET, 2022

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On Online Hate Speech Detection. Effects of Negated Data Construction

Mourad Oussalah

2019 IEEE International Conference on Big Data (Big Data), 2019

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Data expansion using back translation and paraphrasing for hate speech detection

saroar jahan

Online Social Networks and Media, 2021

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Overlapping Toxic Sentiment Classification Using Deep Neural Architectures

Hafiz Hassaan Saeed

2018

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Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection

Ameya Vaidya

Proceedings of the International AAAI Conference on Web and Social Media, 2020

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Textual Aggression Detection through Deep Learning

Daniela Godoy

2018

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GTH-UPM at DETOXIS-IberLEF 2021: Automatic Detection of Toxic Comments in Social Networks

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2021

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SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms

Ziqi Zhang

arXiv (Cornell University), 2021

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AlexU-BackTranslation-TL at SemEval-2020 Task 12: Improving Offensive Language Detection Using Data Augmentation and Transfer Learning

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Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

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Toxic Comments Classification

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International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

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Recurrent Neural Network Architectures with Trained Document Embeddings for Flagging Cyber-Aggressive Comments on Social Media

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2018

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Constructive and Toxic Speech Detection for Open-Domain Social Media Comments in Vietnamese

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Springer eBooks, 2021

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A Large Human-Labeled Corpus for Online Harassment Research

GAURAV SHAHANE

2017

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