SNU Computational Linguistics_Natural Language Processing (CL_NLP)Lab
서울대학교 컴퓨터언어학_자연어처리 연구실
Models & Data
Books
KR-SBERT-V40K-KlueNLI-augSTS in Huggingface Transformers
KR-ELECTRA in Huggingface Transformers (Discriminator)
KR-ELECTRA in Huggingface Transformers (Generator)
KR-ELECTRA: A Pre-trained Korean-specific ELECTRA model for Better Performances!
KR-FinBert: KR-BERT-Medium Adapted With Financial Domain Data
KR-FinBert-SC: Fine-tuning KR-FinBert for Sentiment Analysis
KR-SBERT: A Pre-trained Korean-specific Sentence-BERT model
KR-BERT-Medium in HuggingfaceTransformers
KR-BERT in Huggingface Transformers
KR-BERT-Medium: Expansion of KR-BERT including legal texts from the National Law Information Center and Korean Comments dataset
KR-BERT-KOSAC: Korean-specific BERT model (KR-BERT) Combined with Korean Sentiment Analysis Corpus (KOSAC), to perform better sentiment-related tasks
KR-BERT (KoRean-based BERT pre-trained): Korean-specific, Small-scale with Comparable or Better Performances
Korean Sentiment Analysis Corpus (KOSAC)
Events and Temporal Expressions in Korean(한 국어 사건과 시간 표현)
Linguistics and Statistical Models(언어학과 통계모델) 1st Ed. corrections
Class
Studies on Computational Linguistics 1 (Dept. of Linguistics, 2022 Fall)
Studies on Computational Linguistics II/Applications of NLP: Transformers-based Methodologies (Dept. of Linguistics/Graduate School of Data Science, 2022 Spring)
Events and Temporal Expressions in Korean(한국어 사건과 시간 표현)