Papers Vietnamese Hate Speech Detection
“Vietnamese Hate Speech Detection” 태그가 달린 논문 8편 · 필터 해제
Automatic Textual Normalization for Hate Speech Detection
Social media data is a valuable resource for research, yet it contains a wide range of non-standard words (NSW). These irregularities hinder the effective operation of NLP tools. Current state-of-the-art methods for the …
Hate Speech DetectionLexical NormalizationVietnamese Hate Speech DetectionViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing
English and Chinese, known as resource-rich languages, have witnessed the strong development of transformer-based language models for natural language processing tasks. Although Vietnam has approximately 100M people spea…
Language ModelingLanguage ModellingVietnamese Hate Speech DetectionVietnamese Language Models+2ViHOS: Hate Speech Spans Detection for Vietnamese
The rise in hateful and offensive language directed at other users is one of the adverse side effects of the increased use of social networking platforms. This could make it difficult for human moderators to review tagge…
Hate Span IdentificationSequence-to-sequence Language ModelingToxic Spans DetectionVietnamese Hate Speech Detection+2Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data
Society needs to develop a system to detect hate and offense to build a healthy and safe environment. However, current research in this field still faces four major shortcomings, including deficient pre-processing techni…
Hate Speech DetectionVietnamese Hate Speech DetectionVietnamese Social Media Text ProcessingA Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. On social medias, hate speech has become a critical problem …
Hate Speech DetectionVietnamese Hate Speech DetectionVietnamese Social Media Text ProcessingFrom Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection
Natural language processing is a fast-growing field of artificial intelligence. Since the Transformer was introduced by Google in 2017, a large number of language models such as BERT, GPT, and ELMo have been inspired by …
Hate Speech DetectionLanguage ModelingLanguage ModellingNatural Language Understanding+3Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection
Hate-speech detection on social network language has become one of the main researching fields recently due to the spreading of social networks like Facebook and Twitter. In Vietnam, the threat of offensive and harassmen…
BIG-bench Machine LearningHate Speech DetectionVietnamese Hate Speech DetectionHate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model
In recent years, Hate Speech Detection has become one of the interesting fields in natural language processing or computational linguistics. In this paper, we present the description of our system to solve this problem a…
Hate Speech DetectionVietnamese Hate Speech DetectionVietnamese Social Media Text Processing