Korean Relation Extraction using GAN
It is based on AtNRE model. The following have been modified:
- Link ELMo and GAN networks
- Add Twitter tokenizer to adjust Korean (use
/data/kaist/embedding/fasttext/vector_np_100d_wikipedia.pkl
)
refer script_kaist_adv.sh
files
and
OPTION descriptions are in bag_runner.py
such as model_name, epochs, vocab_size, cell_type, etc.
script_kaist_adv.sh
or
python3 bag_runner.py [OPTIONS]
22일 영국 <e2>맨체스터</e2>시 <e1>맨체스터 아레나</e1>에서 자폭 테러로 의심되는 폭탄 테러가 발생하면서 유럽이 다시 한번 테러 공포에 떨고 있다.,location
CSV format; sentence with two target entities, relation
CC BY-NC-SA
Attribution-NonCommercial-ShareAlike- If you want to commercialize this resource, please contact to us
Machine Reading Lab @ KAIST
This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (2013-0-00109, WiseKB: Big data based self-evolving knowledge base and reasoning platform)