weizhepei/BERT-NER
Using pre-trained BERT models for Chinese and English NER with 🤗Transformers
This helps data scientists and NLP researchers identify and extract specific entities like names, organizations, or locations from Chinese and English text. You input raw text, and it outputs the text with recognized entities labeled. This is for professionals working with text data who need to structure unstructured information.
137 stars. No commits in the last 6 months.
Use this if you need to extract specific pieces of information from large volumes of Chinese or English text data.
Not ideal if you don't have experience with Python, PyTorch, or command-line interfaces, as it requires technical setup.
Stars
137
Forks
27
Language
Python
License
MIT
Category
Last pushed
Oct 14, 2020
Commits (30d)
0
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