Hate Speech Detection
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jason9693/apeach
공식 코드https://github.com/jaugusto97/offense-self-training
공식 코드Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks
https://github.com/jaygala24/fed-hate-speech
공식 코드https://github.com/jinhxu/how-much-hate-with-china
공식 코드https://github.com/jmjmalik22/hate-speech-detection
공식 코드Deep Learning for Hate Speech Detection: A Comparative Study
https://github.com/joonkeekim/hare-hate-speech
공식 코드HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning
https://github.com/jvasilakes/slencodings
공식 코드https://github.com/kamalojasv181/Hostility-Detection-in-Hindi-Posts
공식 코드Hostility Detection in Hindi leveraging Pre-Trained Language Models
https://github.com/karthikpuranik11/Hope-Speech-Detection-
공식 코드IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
https://github.com/kelichiu/GPT3-hate-speech-detection
공식 코드https://github.com/khanhtran0412/visomecens
공식 코드Vietnamese Hate and Offensive Detection using PhoBERT-CNN and Social Media Streaming Data
https://github.com/kocohub/korean-hate-speech
공식 코드BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection
https://github.com/kristinagligoric/use-mention
공식 코드https://github.com/l3cube-pune/MarathiNLP
공식 코드L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models
https://github.com/lcs2-iiitd/fiadd
공식 코드Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Detection
https://github.com/lcs2-iiitd/gothate
공식 코드Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment
https://github.com/lcs2-iiitd/hatefinetune
공식 코드Probing Critical Learning Dynamics of PLMs for Hate Speech Detection
https://github.com/lcs2-iiitd/sands
공식 코드Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
https://github.com/leeyejin1231/amplehate
공식 코드AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
https://github.com/liang-jenny/nlpositionality
공식 코드NLPositionality: Characterizing Design Biases of Datasets and Models
https://github.com/luohongyin/unilc
공식 코드https://github.com/m0hammad-kashif/multimodalhatespeech
공식 코드https://github.com/maikezuefle/latent-feature-splits
공식 코드https://github.com/manueltonneau/naijahate
공식 코드NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data
https://github.com/mdmustafizurrahman/An-Information-Retrieval-Approach-to-Building-Datasets-for-Hate-Speech-Detection
공식 코드An Information Retrieval Approach to Building Datasets for Hate Speech Detection
https://github.com/menelau/hate-speech-mcs
공식 코드https://github.com/microsoft/toxigen
공식 코드ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
https://github.com/migrationsKB/MGKB
공식 코드MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors
https://github.com/minhducbui/multi3hate
공식 코드https://github.com/nadavsc/haterecognition
공식 코드https://github.com/naiveneuron/bryndza-case-2024
공식 코드https://github.com/naslabbgu/parler-hate-speech
공식 코드Going Extreme: Comparative Analysis of Hate Speech in Parler and Gab
https://github.com/neerajvashistha/online-hate-speech-recog
공식 코드https://github.com/nlee0212/crehate
공식 코드https://github.com/palomapiot/distil-metahate
공식 코드Towards Efficient and Explainable Hate Speech Detection via Model Distillation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.