macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
This project helps quickly find and categorize specific information like names, locations, or organizations within Chinese text. It takes raw Chinese sentences and highlights these named entities or classifies the text into predefined categories such as news topics (e.g., finance, sports). Professionals in fields like data analysis, content moderation, or market research dealing with large volumes of Chinese text would find this useful.
4,900 stars. No commits in the last 6 months.
Use this if you need to automatically extract specific types of information from Chinese documents or classify Chinese text into topics without deep programming knowledge.
Not ideal if your primary need is for languages other than Chinese, as it would require significant customization.
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Feb 24, 2021
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