ZhixiuYe/NER-pytorch
LSTM+CRF NER
This tool helps you automatically identify and categorize key pieces of information, such as names of people, organizations, or locations, directly from text documents. You provide a collection of text, and it outputs the same text with the important entities highlighted and labeled. This is designed for data scientists or NLP practitioners who need to extract structured data from unstructured text.
305 stars. No commits in the last 6 months.
Use this if you need a foundational, classic deep learning approach to recognize specific entities within large volumes of text data.
Not ideal if you require the latest, state-of-the-art performance or if your text data contains highly complex or nuanced entity types beyond standard categories.
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305
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103
Language
Python
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Last pushed
Jan 18, 2019
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