Papers Toxic Comment Classification
“Toxic Comment Classification” 태그가 달린 논문 29편 · 필터 해제
Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese
The rise of social media has led to the increasing of comments on online forums. However, there still exists invalid comments which are not informative for users. Moreover, those comments are also quite toxic and harmful…
Constructive Comment ClassificationGeneral ClassificationText ClassificationToxic Comment Classification+1From Hero to Z\'eroe: A Benchmark of Low-Level Adversarial Attacks
Adversarial attacks are label-preserving modifications to inputs of machine learning classifiers designed to fool machines but not humans. Natural Language Processing (NLP) has mostly focused on high-level attack scenari…
Natural Language InferencePart-Of-Speech TaggingToxic Comment ClassificationFrom Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
Adversarial attacks are label-preserving modifications to inputs of machine learning classifiers designed to fool machines but not humans. Natural Language Processing (NLP) has mostly focused on high-level attack scenari…
Natural Language InferencePart-Of-Speech TaggingToxic Comment ClassificationTrojaning Language Models for Fun and Profit
Recent years have witnessed the emergence of a new paradigm of building natural language processing (NLP) systems: general-purpose, pre-trained language models (LMs) are composed with simple downstream models and fine-tu…
Question AnsweringSpecificityToxic Comment ClassificationCan We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification
This paper tackles one of the greatest limitations in Machine Learning: Data Scarcity. Specifically, we explore whether high accuracy classifiers can be built from small datasets, utilizing a combination of data augmenta…
BIG-bench Machine LearningData AugmentationGeneral ClassificationToxic Comment ClassificationDetecting Aggression and Toxicity using a Multi Dimension Capsule Network
In the era of social media, hate speech, trolling and verbal abuse have become a common issue. We present an approach to automatically classify such statements, using a new deep learning architecture. Our model comprises…
ClassificationGeneral ClassificationToxic Comment ClassificationChallenges for Toxic Comment Classification: An In-Depth Error Analysis
Toxic comment classification has become an active research field with many recently proposed approaches. However, while these approaches address some of the task's challenges others still remain unsolved and directions f…
ClassificationGeneral ClassificationToxic Comment ClassificationIs preprocessing of text really worth your time for online comment classification?
A large proportion of online comments present on public domains are constructive, however a significant proportion are toxic in nature. The comments contain lot of typos which increases the number of features manifold, m…
General ClassificationToxic Comment ClassificationConvolutional Neural Networks for Toxic Comment Classification
Flood of information is produced in a daily basis through the global Internet usage arising from the on-line interactive communications among users. While this situation contributes significantly to the quality of human …
ClassificationCloud ComputingGeneral ClassificationManagement+3