This work is a part of my Deep Learning Term Project of Spring, 2018 titled "Event Extraction and Coreferencing". My other team members are : Avirup Saha and Gourab Kumar Patro. The final presentation slides are provided "DL Term Project presentation.pdf".

There are two steps to run this code:

Preprocessing: using file data_script.py and encode_window.py You will need to have the ACE 2005 data set in the format required by this file. We cannot include the data in this release due to licence issues.

The dataset given to us is in xml format. We made major changes in the data_script.py and ed_train.py file. Contain 38 event.subtypes

Train and test the model: using file ed_train.py

Python 3.6.4

numpy 1.14.2

tensorflow 1.6.0

Nguyen, Thien Huu, and Ralph Grishman. "Event Detection and Domain Adaptation with Convolutional Neural Network"

Kim, Yoon. "Convolutional neural networks for sentence classification." arXiv preprint arXiv:1408.5882 (2014).