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README.md
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license: mit
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language:
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- ko
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---
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license: mit
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language:
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- ko
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---
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# Kconvo-roberta: Korean conversation RoBERTa ([github](https://github.com/HeoTaksung/Domain-Robust-Retraining-of-Pretrained-Language-Model))
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- There are many PLMs (Pretrained Language Models) for Korean, but most of them exist for written language.
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- Here, we introduce a retrained PLM for prediction of Korean conversation data.
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## Usage
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```python
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# Kconvo-roberta
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from transformers import RobertaTokenizerFast, RobertaModel
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tokenizer_roberta = RobertaTokenizerFast.from_pretrained("yeongjoon/Kconvo-roberta")
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model_roberta = RobertaModel.from_pretrained("yeongjoon/Kconvo-roberta")
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```
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-----------------
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## Domain Robust Retraining of Pretrained Language Model
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- Kconvo-roberta uses [klue/roberta-base](https://huggingface.co/klue/roberta-base) as the basic model and additionally retrains the conversation dataset.
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- The retrained dataset was collected through the [National Institute of the Korean Language](https://corpus.korean.go.kr/request/corpusRegist.do) and [AI-Hub](https://www.aihub.or.kr/aihubdata/data/list.do?pageIndex=1&currMenu=115&topMenu=100&dataSetSn=&srchdataClCode=DATACL001&srchOrder=&SrchdataClCode=DATACL002&searchKeyword=&srchDataRealmCode=REALM002&srchDataTy=DATA003), and the collected dataset is as follows.
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```
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- National Institute of the Korean Language
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* ์จ๋ผ์ธ ๋ํ ๋ง๋ญ์น 2021
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* ์ผ์ ๋ํ ๋ง๋ญ์น 2020
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* ๊ตฌ์ด ๋ง๋ญ์น
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* ๋ฉ์ ์ ๋ง๋ญ์น
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- AI-Hub
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* ์จ๋ผ์ธ ๊ตฌ์ด์ฒด ๋ง๋ญ์น ๋ฐ์ดํฐ
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* ์๋ด ์์ฑ
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* ํ๊ตญ์ด ์์ฑ
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* ์์ ๋ํ ์์ฑ(์ผ๋ฐ๋จ์ฌ)
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* ์ผ์์ํ ๋ฐ ๊ตฌ์ด์ฒด ํ-์ ๋ฒ์ญ ๋ณ๋ ฌ ๋ง๋ญ์น ๋ฐ์ดํฐ
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* ํ๊ตญ์ธ ๋ํ์์ฑ
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* ๊ฐ์ฑ ๋ํ ๋ง๋ญ์น
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* ์ฃผ์ ๋ณ ํ
์คํธ ์ผ์ ๋ํ ๋ฐ์ดํฐ
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* ์ฉ๋๋ณ ๋ชฉ์ ๋ํ ๋ฐ์ดํฐ
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* ํ๊ตญ์ด SNS
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```
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