https://github.com/bakansm/ViTHSD
공식 코드ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on Vietnamese Social Media Texts
Papers with Code 아카이브
Hate Speech Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 15
- 보존된 평가 기록
- 48
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/befittingcrown/ekohate
공식 코드https://github.com/bidishasamantakgp/2019_CSGen_ACL
공식 코드Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
https://github.com/bvidgen/Dynamically-Generated-Hate-Speech-Dataset
공식 코드Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
https://github.com/caiy0220/poe
공식 코드Power of Explanations: Towards automatic debiasing in hate speech detection
https://github.com/chrisisking/rule-by-example
공식 코드Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
https://github.com/chufeiluo/legalhatespeech
공식 코드Towards Legally Enforceable Hate Speech Detection for Public Forums
https://github.com/claws-lab/mmsoc
공식 코드MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms
https://github.com/cpaaax/multimodal_cast
공식 코드Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
https://github.com/cthem/hate-speech-detection
공식 코드https://github.com/dasol-choi/komultitext
공식 코드https://github.com/dfki-nlp/interrolang
공식 코드InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
https://github.com/dut-lujunyu/toxicn
공식 코드https://github.com/dylangrosz/Automatic_Detection_of_Sexist_Statements_Commonly_Used_at_the_Workplace
공식 코드Automatic Detection of Sexist Statements Commonly Used at the Workplace
https://github.com/eftekhar-hossain/CUET_NLP-EACL_2021
공식 코드https://github.com/enscma2/knowledje
공식 코드https://github.com/esmab/necessity-sufficiency
공식 코드Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
https://github.com/facebookresearch/metaseq
공식 코드https://github.com/farhan-jafri/indian-election
공식 코드https://github.com/fillies/HateSpeechCrossTaxonomy
공식 코드Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
https://github.com/g8a9/ear
공식 코드Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
https://github.com/g8a9/ferret
공식 코드ferret: a Framework for Benchmarking Explainers on Transformers
https://github.com/gombru/multi-modal-hate-speech
공식 코드https://github.com/hanyang-hcc-lab/lahn
공식 코드https://github.com/hate-alert/Hateful-users-detection
공식 코드You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
https://github.com/hate-alert/bengali_hate
공식 코드https://github.com/hate-alert/hatecheckhin
공식 코드https://github.com/hate-alert/hatemm
공식 코드https://github.com/huggingface/swift-coreml-transformers
공식 코드DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/huggingface/transformers
공식 코드DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/imatge-upc/hate-speech-detection
공식 코드Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation
https://github.com/ink-usc/bite
공식 코드BITE: Textual Backdoor Attacks with Iterative Trigger Injection
https://github.com/intelligence-csd-auth-gr/Ethos-Hate-Speech-Dataset
공식 코드https://github.com/ixomaxip/hasoc
공식 코드https://github.com/jagol/gahd
공식 코드https://github.com/jagol/nli-for-hate-speech-detection
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.