# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from bertsota.parser.dep_parser import SDPParser
if __name__ == '__main__':
parser = SDPParser()
parser.train(train_file='data/semeval15/en.psd.conllu',
dev_file='data/semeval15/en.id.psd.conllu',
test_file='data/semeval15/en.id.psd.conllu',
save_dir='data/model/psd-id-eval',
pretrained_embeddings_file='data/embedding/glove.6B.100d.txt',
validate_every=1000)
parser.load('data/model/psd-id')
parser.evaluate(test_file='data/semeval15/en.id.psd.conllu', save_dir='data/model/psd-id-eval',
num_buckets_test=10)
# coding: utf-8
from bertsota.common.data import ParserVocabulary, DataLoader
from bertsota.common.utils import init_logger
from bertsota.parser.dep_parser import SDPParser
for p in range(20, 100, 20):
save_dir = 'data/model/bert-base-pas{}'.format(p)
parser = SDPParser()
parser.train(
train_file='data/semeval15/en.pas.train.{}.conllu'.format(p),
dev_file='data/semeval15/en.pas.dev.conllu',
save_dir=save_dir,
pretrained_embeddings_file='data/embedding/glove.6B.100d.shrinked.txt',
bert_path=[
'data/embedding/bert_base_sum/en.train.bert',
'data/embedding/bert_base_sum/en.dev.bert'
])
parser.load(save_dir)
logger = init_logger(save_dir, 'test.log')
parser.evaluate(test_file='data/semeval15/en.id.pas.conllu',
bert_path='data/embedding/bert_base_sum/en.id.bert',
save_dir=save_dir,
logger=logger)
parser.evaluate(test_file='data/semeval15/en.ood.pas.conllu',
bert_path='data/embedding/bert_base_sum/en.ood.bert',
save_dir=save_dir,
logger=logger)
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from bertsota.parser.dep_parser import SDPParser
if __name__ == '__main__':
parser = SDPParser()
parser.train(train_file='data/semeval15/en.psd.conll',
dev_file='data/semeval15/en.psd.conll',
test_file='data/semeval15/en.psd.conll',
save_dir='data/model/psd-id',
pretrained_embeddings_file='data/embedding/glove.6B.100d.txt')
parser.load('data/model/dep')
parser.evaluate(test_file='data/semeval15/en.id.psd.conll',
save_dir='data/model/over-fitting-psd-id',
num_buckets_test=10)