https://github.com/yangheng95/boosttextaugmentation
공식 코드BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Papers with Code 아카이브
Text Augmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
You can read these blog posts to get an overview of the approaches.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yonseivnl/cmota
공식 코드Story Visualization by Online Text Augmentation with Context Memory
https://github.com/ytongxie/pairaug
공식 코드PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
https://github.com/zzoliman/covid-vaccine-misinfo-mic
공식 코드https://github.com/BPYap/Question-Generation
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/ClaudeCoulombe/TextDataAugmentation
Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs
https://github.com/WengLab-InformaticsResearch/UMLS-EDA
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/aflah02/Easy-Data-Augmentation-Implementation
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/akkarimi/aeda_nlp
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/alikhodadoost/Persian-Sentence-Augmenter
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/hshrimp/EDA4Chinese
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/hshrimp/EDA_BackTranslate_For_Chinese
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/kajyuuen/daaja
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/lbneon/research
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/lmcango/YCNG-229
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/makcedward/nlpaug
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
https://github.com/oraby8/TextDataAug
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
https://github.com/wac81/textda
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.