The source codes for EMNLP:fingdings(2020) paper:Global Bootstrapping Neural Network for Entity Set Expansion
the bootstrapping dataset can be downloaded from the yan et al.(2020)End-to-end bootstrapping neural network for entity set expansion or directly from Google Driver.
the pre-training dataset can be find here
python pretrain_self.py --output_model_file models/xxx1
python pretrain_sup.py --input_model_file models/xxx1 --output_model_file models/xxx2
to run the model please input like
python fine_tune.py --input_model_file models/xxx2
Please cite the following paper if you find our code is helpful, please cite:
@inproceedings{yan-etal-2020-global,
title = "Global Bootstrapping Neural Network for Entity Set Expansion",
author = "Yan, Lingyong and
Han, Xianpei and
He, Ben and
Sun, Le",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.findings-emnlp.331",
doi = "10.18653/v1/2020.findings-emnlp.331",
pages = "3705--3714"
}