Korean Relation Extraction using GAN

About

Korean Relation Extraction using GAN

Introduction

It is based on AtNRE model. The following have been modified:

1. Link ELMo and GAN networks
2. Add Twitter tokenizer to adjust Korean (use /data/kaist/embedding/fasttext/vector_np_100d_wikipedia.pkl)

How to use

refer script_kaist_adv.sh files
and
OPTION descriptions are in bag_runner.py such as model_name, epochs, vocab_size, cell_type, etc.

How to run

script_kaist_adv.sh
or
python3 bag_runner.py [OPTIONS]

Data Example

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

Licenses

• CC BY-NC-SA Attribution-NonCommercial-ShareAlike
• If you want to commercialize this resource, please contact to us

Publisher

Machine Reading Lab @ KAIST

Acknowledgement

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)