https://github.com/sonlam1102/vihsd-vietnamese-hate-speech-detection-dataset
공식 코드A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Hate speech detection is the task of detecting if communication such as text, audio, and so on contains hatred and or encourages violence towards a person or a group of people. This is usually based on prejudice against 'protected characteristics' such as their ethnicity, gender, sexual orientation, religion, age et al. Some example benchmarks are ETHOS and HateXplain. Models can be evaluated with metrics like the F-score or F-measure.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
K-HATERS: A Hate Speech Detection Corpus in Korean with Target-Specific Ratings
HateModerate: Testing Hate Speech Detectors against Content Moderation Policies
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection
Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based Content
Improving Cross-Domain Hate Speech Generalizability with Emotion Knowledge
Automated Hate Speech Detection and the Problem of Offensive Language
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection
Towards Hate Speech Detection at Large via Deep Generative Modeling
HateBERT: Retraining BERT for Abusive Language Detection in English
HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online
StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors
Highly Generalizable Models for Multilingual Hate Speech Detection
HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition
Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification
Hate Speech Detection with Generalizable Target-aware Fairness
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?
Comparative Studies of Detecting Abusive Language on Twitter
Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.