EventExtractionNLP

# EventExtractionNLP This project is out implementation of the following event extraction algorithms: -

• Joint Event Extraction via Recurrent Neural Networks algorithm
• Event Detection via Supervised Attention Mechanismsw

Current State

We are currently adapting these algorithms to utilize ACL2017 dataset.

Future Tasks

• Finalize which algorithm we want to use in our Event Extraction project.
• Improvise the accuracy and efficieny of the selected algorithm

Joint Event Extraction - RNN

There are two main files in this sub-repository

• jee_processData.py : This file parses the event dataset, does some pre-processing and produces a model.
• evaluateJEE.py : This file runs the main algorithm where it trains and tests the generated model.

The Team

Abhimanyu Dogra [email protected] Diptanshu Purwar [email protected] Natasha Mittal [email protected] Niharika Dutta [email protected]