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abuseeval

Data set for LREC 2020 paper "I Feel Offended, Don't Be Abusive!"

ai_poet-kogpt2

AI Poet | KoGPT2 모델을 활용한 시 생성 모델

automatic_detection_of_sexist_statements_commonly_used_at_the_workplace

Automatic Detection of Sexist Statements Commonly Used at the Workplace (PAKDD LDRC '20)

colbert-using-bert-sentence-embedding-for-humor-detection

Novel model and dataset for the task of humor detection

community_crawler

대한민국 커뮤니티의 글을 호로록

conceptnet-numberbatch

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

contextualizing-hate-speech-models-with-explanations

Official code release for ACL 2020 paper "Contextualizing Hate Speech Classifiers with Post hoc Explanation"

countering_hate_speech_icwsm2019

Repository for the paper "Thou shalt not hate: Countering Online Hate Speech" accepted at ICWSM 2019.

counternarrative-resources

Resources on hate speech moderation through counter narratives

covid-corpus-word2vec

digital-garden

emotale

eng_preprocessing_bert

framing-twitter

Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"

gdc

Code for the ICLR 2021 paper "A Distributional Approach to Controlled Text Generation"

getoldtweets3

A Python 3 library and a corresponding command line utility for accessing old tweets

hate-speech-language-modeling

Recurrent Neural Network based Hate Speech Language Model for Korean Hate Speech Detection

hatespeech-cross-dataset-testing

이 레포지터리는 '혐오표현 탐지 모델의 개선을 위한 데이터셋 교차 검증'이라는 제목으로 2023.02 출판 예정인 학위논문의 소스 코드와 실험 결과를 담고 있습니다. This repository contains experimental results and its source code of my master's thesis to be published on 2023.02, under the title 'Cross-dataset test for improving hate speech detection models'.

hatexplain

Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.

hay-ai

hayul7805.github.io

instagram_crawler

인스타그램 크롤러 (Python, Selenium)

korbert-mecab-multigpu-classification

ETRI bert 기반 감정분류 finetuning

korean-counter-speech

We tested a Korean hate speech detection model with our counter-speech dataset, revealing a significant drop in the model's accuracy from 97.9% to 42.7%.

korean-hate-speech-detection

korean-hate-speech-koelectra

Bias, Hate classification with KoELECTRA 👿

korean-hatespeech-w2v

kosentencebert_sktbert

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (EMNLP 2019) 논문에서 공개한 코드, kakaobrain 팀이 공개한 KorNLUDatasets 과 SKT KoBERT를 통해 Korea Sentence BERT를 학습하였습니다.

ku-nlp-2020-1

2020-1학기 고려대학교 컴퓨터학과 자연어처리(COSE461) 및 인공지능과 자연어처리 기술 실습자료(DFC615)