DOOLY

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🦕 A library that handles everything with 🤗 and supports batching to models in PORORO

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# DOOLY 🦕
PORORO에는 아래 세 가지 단점이 존재합니다.
- 일부 task의 batch화 불가능
- 내부 tokenize 과정 및 모듈 구조 확인이 어려움
- fairseq dependency

Dooly는 위 단점 세 가지를 개선한 라이브러리입니다.
- 모든 task를 batch화하여 inference 가능
- task별 tokenizer, model을 모듈로 분리하여 출력값 확인 가능
- 모든 것을 huggingface transformers로 처리

## How to use?
아래와 같이 간단하게 사용 가능합니다

- install

```
$ pip install dooly
```

- how to use
    - PORORO와 동일하게 사용할 수 있습니다.
```python
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},
}
```

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