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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/Anmol2059/NLPineers
공식 코드https://github.com/Anmol2059/NLPineers_Chipsal
공식 코드https://github.com/CompNet/Alert
공식 코드Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features
https://github.com/CompNet/WikiSynch
공식 코드WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection
https://github.com/Gautamshahi/BilingualYouTubeHateSpeech
공식 코드Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language
https://github.com/GreenParachute/hate-speech-popularity
공식 코드Examining a hate speech corpus for hate speech detection and popularity prediction
https://github.com/HKUST-KnowComp/MLMA_hate_speech
공식 코드https://github.com/JAugusto97/ToLD-Br
공식 코드https://github.com/LCS2-IIITD/Hate_Norm
공식 코드Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
https://github.com/LCS2-IIITD/Hyphen
공식 코드https://github.com/Media-Bias-Group/llm-annotations-annomatic
공식 코드https://github.com/Monoshi-tonmoy/Evaluating-LLMs-on-Hate-Speech-Detection
공식 코드Evaluation of Hate Speech Detection Using Large Language Models and Geographical Contextualization
https://github.com/NASCL/DeL-haTE
공식 코드DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
https://github.com/PalGitts/SAFE-MEME
공식 코드SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes
https://github.com/RyanOngAI/semeval-2019-task6
공식 코드Offensive Language Analysis using Deep Learning Architecture
https://github.com/Silly-Machine/TuPyE-Dataset
공식 코드https://github.com/Tawkat/Arabic-CL-Benchmark
공식 코드A Benchmark Study of Contrastive Learning for Arabic Social Meaning
https://github.com/UCSM-DUE/IWG_hatespeech_public
공식 코드Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
https://github.com/UTibetNLP/TSTricker
공식 코드Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model
https://github.com/adeepH/Kan_hope
공식 코드https://github.com/adeeph/kanhope
공식 코드https://github.com/adi2k/precog-hasoc-2021
공식 코드https://github.com/adlnlp/K-MHaS
공식 코드K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment
https://github.com/advaithavetagiri/cnlp-nits-pp
공식 코드https://github.com/aflah02/hope_speech_detection
공식 코드Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection
https://github.com/aflah02/the-art-of-embedding-fusion-optimizing-hate-speech-detection
공식 코드The Art of Embedding Fusion: Optimizing Hate Speech Detection
https://github.com/ago3/plead
공식 코드Explainable Abuse Detection as Intent Classification and Slot Filling
https://github.com/aitor-garcia-p/hate-speech-dataset
공식 코드https://github.com/alatteaday/mrp_hate-speech-detection
공식 코드Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
https://github.com/alisafaya/OffensEval2020
공식 코드KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media
https://github.com/amandacurry/convabuse
공식 코드ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI
https://github.com/amitdasrup123/hatebiasnet
공식 코드Investigating Annotator Bias in Large Language Models for Hate Speech Detection
https://github.com/amitdasrup123/hatespeechcorpus
공식 코드Investigating Annotator Bias in Large Language Models for Hate Speech Detection
https://github.com/amritabh/shield
공식 코드Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
https://github.com/angelfelipemp/arabic-hate-speech-covid-19
공식 코드Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.