haven-jeon / LegalQA
Korean LegalQA using SentenceKoBART
☆92Updated last year
Related projects: ⓘ
- Training Transformers of Huggingface with KoNLPy☆68Updated 4 years ago
- 특허분야 특화된 한국어 AI언어모델 KorPatBERT☆59Updated 7 months ago
- KLUE 데이터를 활용한 HuggingFace Transformers 튜토리얼☆127Updated 3 years ago
- HanBert on 🤗 Huggingface Transformers 🤗☆86Updated 3 years ago
- Parallel dataset of Korean Questions and Commands☆59Updated last year
- The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)☆117Updated 3 years ago
- Simple Contrastive Learning of Korean Sentence Embeddings☆48Updated last year
- huggingface를 이용하여 downstream task 수행하기☆64Updated 2 years ago
- 한국어 개체명 정의 및 표지 표준화 기술보고서와 이를 기반으로 제작된 개체명 형태소 말뭉치☆90Updated 3 years ago
- Baseline code for Korean open domain question answering(ODQA)☆76Updated last year
- 최신 자연어처리 모델 소개☆75Updated 2 years ago
- BERT with SentencePiece for Korean text☆70Updated 4 years ago
- ☆72Updated 2 years ago
- NER Task with KoBERT (with Naver NLP Challenge dataset)☆94Updated last year
- ELECTRA기반 한국어 대화체 언어모델☆54Updated 3 years ago
- Naver movie review sentiment classification with KoBERT☆76Updated last year
- #Paired Question☆23Updated 4 years ago
- Kobart model on Huggingface transformers☆63Updated 2 years ago
- Korean Relation Extraction Gold Standard☆37Updated 3 years ago
- Finetuning Pipeline☆90Updated 2 years ago
- Korean Math Word Problems☆58Updated 2 years ago
- question generation model with KorQuAD dataset☆38Updated 3 years ago
- ☆72Updated this week
- Korean-English Bilingual Electra Models☆108Updated 2 years ago
- APEACH: Attacking Pejorative Expressions with Analysis on Crowd-generated Hate Speech Evaluation Datasets☆75Updated last year
- Curation note of NLP datasets☆91Updated last year
- 🦅 Pretrained BigBird Model for Korean (up to 4096 tokens)☆202Updated 8 months ago
- Data Augmentation Toolkit for Korean text.☆51Updated 2 years ago
- KoBART chatbot☆46Updated 3 years ago
- Liner LLM Meetup archive☆72Updated 5 months ago