Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

Introduction

The code provided at this page was used to do the experiments presented in [1] (pdf).

It is written in Theano [2].

Resources

Resources will be published here soon

Cite

If you use the provided code in your work, please cite the following paper:

@inproceedings{adelGlobal2017,
  title={Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification},
  author={Heike Adel and Hinrich Sch\"{u}tze},
  year={2017},
  booktitle={{EMNLP} 2017, Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification,
               Copenhagen, Denmark, September 9 - September 11, 2017}
}

References

[1] Heike Adel and Hinrich Sch├╝tze: "Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification", EMNLP 2017.

[2] Theano Development Team: "Theano: A Python framework for fast computation of mathematical expressions", arXiv preprint arXiv:1605.02688, 2016.

Contact: Heike Adel (cis page)