feedforward-RE
Feedforward NeuralNet for Relation Extraction.
Data Preparation
- Place data in CoType format obtained in
data/source/$dataname
. - Using KBP as the exmaple dataset, run
./brown_clustering.sh KBP
to generate browncluster file (may take a while, don't repeat if nothing in data changed)
Feature Extraction
First, run the server using all jars in the CoreNLP home directory (in another terminal):
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000
Then:
./feature_extraction.sh KBP
Train FF-NN model
python3 FFNN/run.py KBP