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Code Issues Releases Wiki Activity

fix NER output; fix BERT Tokenizer

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Kai Labusch 2019-11-22 17:10:21 +01:00
parent 3eabe5054a
commit 775d0cd753
1 changed files with 5 additions and 4 deletions
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9
qurator/sbb_ner/webapp/app.py
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@ -262,16 +262,17 @@ def ner(model_id):
for pos, (token, word_pred) in enumerate(zip(tokens, word_predictions)): for pos, (token, word_pred) in enumerate(zip(tokens, word_predictions)):
if not token.startswith('##'): if not token.startswith('##') and token != '[UNK]':
if len(word) > 0: if len(word) > 0:
output_sentence.append({'word': word, 'prediction': last_prediction}) output_sentence.append({'word': word, 'prediction': last_prediction} )
word = '' word = ''
if token == '[UNK]': if token == '[UNK]':
orig_pos = len("".join([pred['word'] for pred in output_sentence])) orig_pos = len("".join([pred['word'] for pred in output_sentence]) + word)
word += original_text[orig_pos]
output_sentence.append({'word': original_text[orig_pos], 'prediction': last_prediction})
continue continue
token = token[2:] if token.startswith('##') else token token = token[2:] if token.startswith('##') else token