bert-slot-tokenizer 0.2.1

A tool for converting raw text to slot

bert_slot_tokenizer

Version 0.2

bert_slot_tokenizer 是一个将slot filling 任务中slot解析为其他格式的工具

环境：

• Python 3
• Python 2

安装：

pip install bert-slot-tokenizer

支持的格式：

• IOB格式

使用方法：

from bert_slot_tokenizer import SlotConverter
vacab_path = 'tests/test_data/example_vocab.txt' 
# you can find a example here --> https://github.com/DevRoss/bert-slot-tokenizer/blob/master/tests/test_data/example_vocab.txt
sc = SlotConverter(vocab_path, do_lower_case=True)
text = 'Too YOUNG, too simple, sometimes naive! 蛤蛤+1s'
slot = {'name': '蛤蛤', 'time': '+1s'}
output_text, iob_slot = sc.convert2iob(text, slot)
print(output_text)
# ['too', 'young', ',', 'too', 'simple', ',', 'some', '##times', 'na', '##ive', '!', '蛤', '蛤', '+', '1', '##s']
print(iob_slot)
# ['O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'B-name', 'I-name', 'B-time', 'I-time', 'I-time']

写在最后：

感谢BERT对NLP领域的推动

感谢开源

欢迎PR和issue

联系方式： [e-mail]