# Decoding
if parameters['crf']:
y_preds = np.array(f_eval(*input))[1:-1]
else:
y_preds = f_eval(*input).argmax(axis=1)
y_preds = [model.id_to_tag[y_pred] for y_pred in y_preds]
# Output tags in the IOB2 format
if parameters['tag_scheme'] == 'iobes':
y_preds = iobes_iob(y_preds)
# Write tags
assert len(y_preds) == len(words)
if opts.outputFormat == 'json':
f_output.write(
json.dumps({
"text": ' '.join(words),
"ranges": iob_ranges(y_preds)
}))
else:
f_output.write('%s\n' %
' '.join('%s%s%s' % (w, opts.delimiter, y)
for w, y in zip(words_ini, y_preds)))
else:
f_output.write('\n')
count += 1
if count % 100 == 0:
print count
print '---- %i lines tagged in %.4fs ----' % (count, time.time() - start)
f_output.close()
words = line.rstrip().split()
# Prepare input
sentence = prepare_sentence(words, word_to_id, char_to_id,
lower=parameters['lower'])
input = create_input(sentence, parameters, False)
# Decoding
if parameters['crf']:
y_preds = np.array(f_eval(*input))[1:-1]
else:
y_preds = f_eval(*input).argmax(axis=1)
y_preds = [model.id_to_tag[y_pred] for y_pred in y_preds]
# Output tags in the IOB2 format
#if parameters['tag_scheme'] == 'iobes':
#y_preds = iobes_iob(y_preds)
# Write tags
assert len(y_preds) == len(words)
if opts.outputFormat == 'json':
f_output.write(json.dumps({ "text": ' '.join(words), "ranges": iob_ranges(y_preds) }))
else:
f_output.write('%s\n' % ' '.join('%s%s%s' % (w, opts.delimiter, y)
for w, y in zip(words_ini, y_preds)))
else:
f_output.write('\n')
count += 1
if count % 100 == 0:
print count
print '---- %i lines tagged in %.4fs ----' % (count, time.time() - start)
f_output.close()
def run_tagging(model,
f_eval,
parameters,
word_to_id,
char_to_id,
tag_to_id,
opts_input="",
opts_output="",
opts_delimiter="__",
opts_outputFormat=""):
# Check parameters validity
assert opts_delimiter
assert os.path.isfile(opts_input)
#set environment to use gpu
f_output = codecs.open(opts_output, 'w', 'utf-8')
start = time.time()
logger.info('Tagging...')
with codecs.open(opts_input, 'r', 'utf-8') as f_input:
count = 0
for line in f_input:
words_ini = line.rstrip().split()
if line:
# Lowercase sentence
if parameters['lower']:
line = line.lower()
# Replace all digits with zeros
if parameters['zeros']:
line = zero_digits(line)
words = line.rstrip().split()
# Prepare input
sentence = prepare_sentence(words,
word_to_id,
char_to_id,
lower=parameters['lower'])
input = create_input(sentence, parameters, False)
# Decoding
if parameters['crf']:
y_preds = np.array(f_eval(*input))[1:-1]
else:
y_preds = f_eval(*input).argmax(axis=1)
y_preds = [model.id_to_tag[y_pred] for y_pred in y_preds]
# Output tags in the IOB2 format
if parameters['tag_scheme'] == 'iobes':
y_preds = iobes_iob(y_preds)
# Write tags
assert len(y_preds) == len(words)
if opts_outputFormat == 'json':
f_output.write(
json.dumps({
"text": ' '.join(words),
"ranges": iob_ranges(y_preds)
}))
else:
#logger.info( "write out tags..."
f_output.write(
'%s\n' % ' '.join('%s%s%s' % (w, opts_delimiter, y)
for w, y in zip(words_ini, y_preds)))
else:
f_output.write('\n')
count += 1
# if count % 100 == 0:
# logger.info( count
logger.info('---- %i lines tagged in %.4fs ----' %
(count, time.time() - start))
f_output.close()
logger.info(opts_output)
logger.info("")
return opts_output + " has been tagged!"
# def main():
# logger.info( "executed"
# if __name__ == '__main__':
# main()
words = line.rstrip().split()
# Prepare input
sentence = prepare_sentence(words, word_to_id, char_to_id,
lower=parameters['lower'])
input = create_input(sentence, parameters, False)
# Decoding
if parameters['crf']:
y_preds = np.array(f_eval(*input))[1:-1]
else:
y_preds = f_eval(*input).argmax(axis=1)
y_preds = [model.id_to_tag[y_pred] for y_pred in y_preds]
# Output tags in the IOB2 format
if parameters['tag_scheme'] == 'iobes':
y_preds = iobes_iob(y_preds)
# Write tags
assert len(y_preds) == len(words)
if opts.outputFormat == 'json':
f_output.write(json.dumps({ "text": ' '.join(words), "ranges": iob_ranges(y_preds) }))
else:
f_output.write('%s\n' % ' '.join('%s%s%s' % (w, opts.delimiter, y)
for w, y in zip(words_ini, y_preds)))
else:
f_output.write('\n')
count += 1
if count % 100 == 0:
print count
print '---- %i lines tagged in %.4fs ----' % (count, time.time() - start)
f_output.close()
