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Korean NER with Pytorch

Korean NER Task with CharCNN + BiLSTM + CRF (with Naver NLP Challenge dataset), implemented with Pytorch

Model

<p float="left" align="center"> <img width="400" src="https://user-images.githubusercontent.com/28896432/77224229-d9bce580-6ba6-11ea-9564-06d57a2e0f09.png" /> </p>

Dependencies

Data

TrainTest
# of Data81,0009,000

Pretrained Word Vectors

Usage

$ python3 main.py --do_train --do_eval

Results

Slot F1 (%)
CNN+BiLSTM+CRF73.65
CNN+BiLSTM+CRF (+fastText)74.57

Reference