/SENet-for-Weakly-Supervised-Relation-Extraction

Primary LanguagePython

This is the implementation of my paper: SENet for Weakly-Supervised Realtion Extraction

Link:

How to train?

  1. unzip zipfile in data/
  2. put data folder at .. (recommend)
  3. in cmd:
python3 train.py

and test result will be saved to temp/

How to eval?

python3 eval.py

How to plot and compare with other models?

you need to fill in the pkl file path in plot script, and run

cd plot/
python3 baselins.py
python3 metric.py

About me:

A student in PRIS, BUPT.

Prerequist

  1. Tensorflow-gpu==1.4.0
  2. sklearn, tflearn, nltk, numpy; update to date
  3. Python >= 3.6.5

Acks

I did NOT write these from scratch. I cloned this repo: ResCNN-9 and improve it.