Python DepParser.evaluate Beispiele

Beispiel #1

Datei: ctb_debug.py Projekt: xlzwhboy/bert-2019

# -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-02-07 20:45
from bertsota.parser.dep_parser import DepParser

parser = DepParser()
save_dir = 'data/model/ctb-debug'
parser.train(
    train_file='data/ctb5/train.conll',
    dev_file='data/ctb5/dev.conll',
    save_dir=save_dir,
    word_dims=300,
    # tag_dims=300,
    # interpolation=0.2,
    pretrained_embeddings_file='data/embedding/ctb.fasttext.300.txt',
    root='ROOT')
parser.load(save_dir)
parser.evaluate('data/ctb5/test.conll', save_dir)

Beispiel #2

Datei: ptb_bert_auto.py Projekt: xlzwhboy/bert-2019

# -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-02-07 20:45
from bertsota.parser.dep_parser import DepParser

parser = DepParser()
save_dir = 'data/model/ptb-bert-auto4'
parser.train(
    train_file='data/ptb-dep/train.auto.conllx',
    dev_file='data/ptb-dep/dev.auto.conllx',
    save_dir=save_dir,
    pretrained_embeddings_file='data/embedding/glove/glove.6B.100d.txt',
    bert_path=[
        'data/embedding/bert_base_sum/ptb.dep.train.bert',
        'data/embedding/bert_base_sum/ptb.dep.dev.bert'
    ],
    root='root')
parser.load(save_dir)
parser.evaluate('data/ptb-dep/test.auto.conllx',
                save_dir,
                bert_path='data/embedding/bert_base_sum/ptb.dep.test.bert')

Beispiel #3

# -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-02-07 20:45
from bertsota.parser.dep_parser import DepParser

parser = DepParser()
save_dir = 'data/model/ptb-baseline-auto3'
parser.train(
    train_file='data/ptb-dep/train.auto.conllx',
    dev_file='data/ptb-dep/dev.auto.conllx',
    save_dir=save_dir,
    pretrained_embeddings_file='data/embedding/glove/glove.6B.100d.txt',
    root='root')
parser.load(save_dir)
parser.evaluate('data/ptb-dep/test.auto.conllx', save_dir)

Beispiel #4

Datei: ctb_bert_notag.py Projekt: xlzwhboy/bert-2019

# -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-02-07 20:45
from bertsota.parser.dep_parser import DepParser

parser = DepParser()
save_dir = 'data/model/ctb-bert-notag'
parser.train(train_file='data/ctb/train.conllx',
             dev_file='data/ctb/dev.conllx',
             save_dir=save_dir,
             word_dims=300,
             tag_dims=0,
             pretrained_embeddings_file='data/embedding/ctb.fasttext.300.txt',
             bert_path=[
                 'data/embedding/bert_base_sum/ctb.train.bert',
                 'data/embedding/bert_base_sum/ctb.dev.bert'
             ],
             root='ROOT')
parser.load(save_dir)
parser.evaluate('data/ctb/test.conllx',
                save_dir,
                bert_path='data/embedding/bert_base_sum/ctb.test.bert')

Beispiel #5

Datei: ctb_old_data.py Projekt: xlzwhboy/bert-2019

# -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2019-02-07 20:45
from bertsota.parser.dep_parser import DepParser

parser = DepParser()
save_dir = 'data/model/ctb-old'
parser.train(
    train_file='data/ctb5.1-dep/train.conllx',
    dev_file='data/ctb5.1-dep/dev.conllx',
    save_dir=save_dir,
    word_dims=300,
    # interpolation=0.2,
    pretrained_embeddings_file='data/embedding/ctb.fasttext.300.txt',
    root='ROOT')
parser.load(save_dir)
parser.evaluate('data/ctb5.1-dep/test.conllx', save_dir)