sanmusunrise / AdaScaling

Adaptive Scaling for Sparse Detection in Information Extraction

Adaptive Scaling for Sparse Detection in Information Extraction

This is the source code for paper "Adaptive Scaling for Sparse Detection in Information Extraction" in ACL2018.

Requirements

• Tensorflow >= 1.2.0

Usage

First, please unzip the word2vec embeddings in "CNN/"

• gzip -d CNN/en_word2vec.dat.gz
• gzip -d CNN/zh_word2vec.dat.gz

Then enter CNN dir, run the program like

• python CNN.py config_f1_zh.cfg

Hyperparameters in our paper are saved in configure file "config_f1_en.cfg" or "config_f1_zh.cfg".

Citation

Please cite:

• Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun. Adaptive Scaling for Sparse Detection in Information Extraction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics.

@InProceedings{lin-Etal:2018:ACL2018adaptive,
  author    = {Lin, Hongyu and Lu, Yaojie and Han, Xianpei and Sun, Le},
  title     = {Adaptive Scaling for Sparse Detection in Information Extraction},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  location = {Association for Computational Linguistics},
}

Contact

If you have any question or want to request for the data(only if you have the license from LDC), please contact me by

• [e-mail]