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Abuse Detection
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Abuse detection is the task of identifying abusive behaviors, such as hate speech, offensive language, sexism and racism, in utterances from social media platforms (Source: https://arxiv.org/abs/1802.00385).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://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/isarnejad/tcav-for-text-classifiers
공식 코드Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors
https://github.com/ixomaxip/hasoc
공식 코드https://github.com/jaeyk/intersectional-bias-in-ml
공식 코드Intersectional Bias in Hate Speech and Abusive Language Datasets
https://github.com/jagol/gahd
공식 코드https://github.com/jagol/nli-for-hate-speech-detection
공식 코드https://github.com/jagol/xnli4xhsd
공식 코드https://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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.