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monoid 84761d23be refactor: free tagIdConverter		2022-02-22 17:23:14 +09:00
[Ko, En] NER, POStag data	init	2022-02-14 08:28:54 +09:00
.gitignore	feat: add count freq and save model	2022-02-18 18:33:51 +09:00
Batch.ipynb	init	2022-02-14 08:28:54 +09:00
LICENSE	init	2022-02-14 08:28:54 +09:00
Processing.ipynb	init	2022-02-14 08:28:54 +09:00
README.md	docs: fix typo README.md	2022-02-14 08:35:57 +09:00
Training.ipynb	refactor: free tagIdConverter	2022-02-22 17:23:14 +09:00
count_tag_freq.py	feat: count tag frequency	2022-02-18 18:31:53 +09:00
cuda_test.py	init	2022-02-14 08:28:54 +09:00
dataset.py	refactor: free tagIdConverter	2022-02-22 17:23:14 +09:00
dataset.test.py	test(dataset): change assertEquals to assertEqual	2022-02-18 17:28:31 +09:00
eng_tags.json	feat: add eng_tag	2022-02-22 16:47:16 +09:00
env.yaml	init	2022-02-14 08:28:54 +09:00
groupby_index.py	ADD: add line sep	2022-02-22 16:31:56 +09:00
groupby_index.test.py	feat: add groupby_index	2022-02-18 17:29:46 +09:00
preprocessing.py	init	2022-02-14 08:28:54 +09:00
read_data.py	feat: get args	2022-02-22 17:20:16 +09:00

Ner Task Study(Multilingual Bert finetuning)

If you want to create the conda env,

conda env create -f env.yaml

To prepare the data, you should execute the following commands:

python read_data.py
python preprocessing.py