NLP/Event-Extraction
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Create train.py

Browse Source
This commit is contained in:
missQian 2020-10-04 21:00:58 +08:00 committed by GitHub
parent b6091e1d9b
commit 7a536eabbd
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 26 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

26
models/HMEAE: Hierarchical Modular Event Argument Extraction/train.py Normal file
View File

@ -0,0 +1,26 @@
import tensorflow as tf
import utils
from models import DMCNN
import os
flags = tf.flags
flags.DEFINE_string("gpu", "1", "The GPU to run on")
flags.DEFINE_string("mode", "HMEAE", "DMCNN or HMEAE")
flags.DEFINE_string("classify", "tuple", "single or tuple")
def main(_):
config = flags.FLAGS
os.environ['CUDA_VISIBLE_DEVICES'] = config.gpu
extractor = utils.Extractor()
extractor.Extract()
loader = utils.Loader()
t_data = loader.load_trigger()
a_data = loader.load_argument()
trigger = DMCNN(t_data,a_data,loader.maxlen,loader.max_argument_len,loader.wordemb)
a_data_process = trigger.train_trigger()
argument = DMCNN(t_data,a_data_process,loader.maxlen,loader.max_argument_len,loader.wordemb,stage=config.mode,classify=config.classify)
argument.train_argument()
if __name__=="__main__":
tf.app.run()