liuyukid/transformers-ner
Pytorch-Named-Entity-Recognition-with-transformers
This helps you automatically identify and extract key pieces of information, like names, locations, or dates, from unstructured text in both English and Chinese documents. You provide raw text, and it returns the text with specific entities highlighted and categorized. Anyone who needs to quickly find and organize structured data hidden within large volumes of text, such as researchers, analysts, or data entry specialists, would find this useful.
210 stars. No commits in the last 6 months.
Use this if you need to precisely extract named entities from a large collection of text data in either English or Chinese.
Not ideal if you're looking for a simple, off-the-shelf application with a graphical user interface for casual use.
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210
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43
Language
Python
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Last pushed
Jun 01, 2020
Commits (30d)
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