shibing624/nerpy
🌈 NERpy: Implementation of Named Entity Recognition using Python. 命名实体识别工具，支持BertSoftmax、BertSpan等模型，开箱即用。
This tool helps you automatically identify and extract key pieces of information, like names of people, locations, organizations, or times, from text documents. You provide a sentence or paragraph, and it returns a list of identified entities with their categories. It's designed for anyone who needs to quickly pull structured data from unstructured text, such as researchers, data analysts, or content managers.
118 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to automatically find and label specific types of entities (like people, places, or dates) within large amounts of English or Chinese text.
Not ideal if your task requires highly specialized entity types not covered by common categories, or if you need to extract complex relationships between entities rather than just identifying them.
Stars
118
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 19, 2024
Commits (30d)
0
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