Cartus/AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
This project helps natural language processing researchers extract relationships between entities from text. It takes sentences with known entities as input and identifies the specific relationship type connecting them (e.g., 'founder of,' 'located in'). This tool is for NLP scientists or machine learning engineers working on advanced information extraction tasks.
435 stars. No commits in the last 6 months.
Use this if you need to perform fine-grained relation extraction from text, especially using dependency tree structures.
Not ideal if you are looking for a pre-trained, production-ready solution without diving into model training and dataset preparation for research.
Stars
435
Forks
88
Language
Python
License
MIT
Category
Last pushed
Mar 22, 2022
Commits (30d)
0
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