2021

05-12 [논문리뷰] SpanBERT: Improving Pre-training by Representing and Predicting Spans
04-28 [논문리뷰] Improving language understanding by generative pre-training
04-22 [논문리뷰] Deep contextualized word representations
04-15 [논문리뷰] ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
04-11 [논문리뷰] RoBERTa: A Robustly Optimized BERT Pretraining Approach
04-02 [논문리뷰] ELECTRA: PRE-TRAINING TEXT ENCODERS AS DISCRIMINATORS RATHER THAN GENERATORS
03-19 [논문리뷰] Bert: Pre-training of deep bidirectional transformers for language understanding
03-03 [논문리뷰] Attention Is All You Need
02-23 [논문리뷰] Neural Machine Translation by Jointly Learning to Align and Translate
02-13 [논문리뷰] Sequence to Sequence Learning with Neural Networks
01-18 [논문리뷰] Convolutional neural networks for sentence classification
01-14 BERT를 이용한 한국어 띄어쓰기 모델 만들기 - 04. 학습
01-10 BERT를 이용한 한국어 띄어쓰기 모델 만들기 - 03. 모델
01-09 BERT를 이용한 한국어 띄어쓰기 모델 만들기 - 02. 데이터 전처리
01-07 BERT를 이용한 한국어 띄어쓰기 모델 만들기 - 01. 데이터 준비

2020

12-16 [Python] dictionary에 default value 사용하기
06-06 [Python]Decorator
05-10 [Python] coding convention 및 tool
05-02 [Python] Docstring
05-02 [Python] Annotation