Hate Speech Detection
Hate Speech Detection是自然语言处理领域的一项重要任务,旨在识别和检测文本、音频等通信中是否包含针对个人或群体的仇恨言论及暴力倾向。该任务基于对受保护特征如种族、性别、性取向、宗教、年龄等的偏见进行评估,常用评估指标包括F-score或F-measure。其应用价值在于维护网络环境的健康与安全,防止有害信息的传播。
AbusEval
HateBERT
Automatic Misogynistic Identification
mBert
bajer_danish_misogyny
AOM mBERT
DKhate
Baseline
Ethos Binary
BiLSTM+Attention+FT
Ethos MultiLabel
MLARAM
HateMM
HXP + CLAP + CLIP
HatEval
HateXplain
BERT-MRP
Hostility Detection Dataset in Hindi
Auxiliary IndicBert
OffensEval 2019
HateBERT
OLID
RoBERTa-large-ST
SHAJ
ToLD-Br
Multilingual BERT
Waseem et al., 2018
Mozafari et al., 2019