tsujuifu/pytorch_graph-rel
A PyTorch implementation of GraphRel
This project helps researchers and developers in natural language processing (NLP) to automatically identify entities (like people or organizations) and the relationships between them (like 'works for' or 'invented') from raw text. It takes textual data, such as news articles or research papers, and outputs structured information about entities and their connections. NLP practitioners working on information extraction or knowledge graph construction would find this useful.
278 stars. No commits in the last 6 months.
Use this if you need to extract both entities and their relationships simultaneously from unstructured text, especially if you are working with or researching graph-based NLP models.
Not ideal if you only need to extract entities or relations separately, or if you are looking for an out-of-the-box solution without diving into model implementation.
Stars
278
Forks
51
Language
Python
License
MIT
Category
Last pushed
Dec 17, 2023
Commits (30d)
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