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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/anhhoang0529/small-lexnormvihsd

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Automatic Textual Normalization for Hate Speech Detection

https://github.com/annon-arch/sands

공식 코드

Semi-supervised Stance Detection of Tweets Via Distant Network Supervision

https://github.com/arijrb/multilingual-auxiliary-tasks-training-bridging-the-gap-between-languages-for-zero-shot-transfer-of-

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Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models

https://github.com/atanumandal0491/Multimodality-Hate-Speech-Identification

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Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

https://github.com/atanumandal0491/hate-speech-identification

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Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

https://github.com/audreycs/impscore

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ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Language

https://github.com/avaapm/hatespeech

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Large-Scale Hate Speech Detection with Cross-Domain Transfer

https://github.com/bakansm/ViTHSD

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ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on Vietnamese Social Media Texts

https://github.com/befittingcrown/ekohate

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EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian Twitter

https://github.com/bidishasamantakgp/2019_CSGen_ACL

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Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text

https://github.com/bvidgen/Dynamically-Generated-Hate-Speech-Dataset

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Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection

https://github.com/caiy0220/poe

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Power of Explanations: Towards automatic debiasing in hate speech detection

https://github.com/callmesanfornow/fsl-audio-abuse

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Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning

https://github.com/chrisisking/rule-by-example

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Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection

https://github.com/chufeiluo/legalhatespeech

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Towards Legally Enforceable Hate Speech Detection for Public Forums

https://github.com/claws-lab/mmsoc

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MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms

https://github.com/cpaaax/multimodal_cast

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Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification

https://github.com/cthem/hate-speech-detection

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A study of text representations in Hate Speech Detection

https://github.com/dasol-choi/komultitext

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KoMultiText: Large-Scale Korean Text Dataset for Classifying Biased Speech in Real-World Online Services

https://github.com/dfki-nlp/interrolang

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InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations

https://github.com/dut-lujunyu/toxicn

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Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks

https://github.com/dylangrosz/Automatic_Detection_of_Sexist_Statements_Commonly_Used_at_the_Workplace

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Automatic Detection of Sexist Statements Commonly Used at the Workplace

https://github.com/eftekhar-hossain/CUET_NLP-EACL_2021

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NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner

https://github.com/enscma2/knowledje

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A Group-Specific Approach to NLP for Hate Speech Detection

https://github.com/esmab/necessity-sufficiency

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Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection

https://github.com/facebookresearch/metaseq

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OPT: Open Pre-trained Transformer Language Models

https://github.com/farhan-jafri/indian-election

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Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines

https://github.com/fillies/HateSpeechCrossTaxonomy

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Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration

https://github.com/g8a9/ear

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Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

https://github.com/g8a9/ferret

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ferret: a Framework for Benchmarking Explainers on Transformers

https://github.com/gombru/multi-modal-hate-speech

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Exploring Hate Speech Detection in Multimodal Publications

https://github.com/gpitsilis/hate-speech

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Detecting Offensive Language in Tweets Using Deep Learning

https://github.com/hanyang-hcc-lab/lahn

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Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection

https://github.com/hate-alert/Hateful-users-detection

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You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights

https://github.com/hate-alert/bengali_hate

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Hate Speech and Offensive Language Detection in Bengali

https://github.com/hate-alert/hatecheckhin

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HateCheckHIn: Evaluating Hindi Hate Speech Detection Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.