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Basic Info

Author: Rujun Han*, I-Hung Hsu*, Mu Yang

Title: Codebase for CoNLL 2019 Paper: Deep Structured Neural Network for Event Temporal Relation Extraction

Data processinng. We have preprocessed MATRES(notice that the Matres dataset we use are their initial released version, hence, contains less data), TB-Dense and TCR raw data using internal NLP tools at the Information Sciences Institute. These .pickle files are saved in data fold.

Additional Note:

Setup

  1. Install Gurobi
conda config --add channels http://conda.anaconda.org/gurobi
conda install gurobi
grbgetkey $YOURGUROBIKEY$
  1. Return to this repository and:
pip install -r requirements.txt

Or see the yml file we append

  1. Download data.

Run code:

cd Code
python train_all.py

About

code for the paper -- "Deep Structured Neural Network for Event Temporal Relation Extraction"

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