hertz-pj/BERT-BiLSTM-CRF-NER-pytorch
Pytorch BERT-BiLSTM-CRF For NER
This project helps you automatically identify and extract specific entities like names, addresses, or organizations from Chinese text. You provide raw Chinese text, formatted to highlight parts of speech, and it outputs the same text with key entities clearly labeled. This is designed for anyone working with large volumes of Chinese text data who needs to quickly pinpoint specific pieces of information.
427 stars. No commits in the last 6 months.
Use this if you need to precisely extract different categories of information, such as names or locations, from unstructured Chinese documents or datasets.
Not ideal if you're working with languages other than Chinese or if your primary goal is overall text summarization rather than detailed entity extraction.
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Mar 20, 2020
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