PORORO에는 아래 세 가지 단점이 존재합니다.
Dooly는 위 단점 세 가지를 개선한 라이브러리입니다.
아래와 같이 간단하게 사용 가능합니다
$ pip install dooly
from dooly import Dooly
ner = Dooly(task="ner", lang="ko")
## Supported Tasks
- Back Translation Data Augmentation
- Dependency Parsing
- Machine Reading Comprehension
- Machine Translation
- Named Entity Recognition
- Natural Language Inference
- Pos Tagging
- Question Generation
- Word Embedding
- Word Sense Disambiguation
- Zero Shot Topic Classification
## Citations
@misc{pororo, author = {Heo, Hoon and Ko, Hyunwoong and Kim, Soohwan and Han, Gunsoo and Park, Jiwoo and Park, Kyubyong}, title = {PORORO: Platform Of neuRal mOdels for natuRal language prOcessing}, howpublished = {\url{https://github.com/kakaobrain/pororo}}, year = {2021}, }