xusenlinzy/FastIE
A training and inference framework for open ner and re models! 信息抽取（实体抽取、关系抽取、事件抽取）模型的统一训练和推理框架，包含丰富的开源SOTA模型
This project helps AI engineers and natural language processing (NLP) researchers build and apply advanced information extraction systems. It takes raw text documents and automatically identifies key entities (like people, places, organizations), the relationships between them, and specific events mentioned. This allows for automated analysis of large volumes of text data.
No commits in the last 6 months. Available on PyPI.
Use this if you need a unified framework to train and deploy various state-of-the-art models for text classification, named entity recognition, relation extraction, and event extraction.
Not ideal if you are looking for a ready-to-use application and do not have programming or machine learning expertise.
Stars
14
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3
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 31, 2024
Commits (30d)
0
Dependencies
3
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