YerevaNN/R-NET-in-Keras
Open R-NET (hy` առնետ 🐁) implementation and detailed analysis: https://git.io/vd8dx
This project offers an implementation of the R-NET neural network for question answering tasks. It takes a question and a relevant text passage as input, and outputs the most likely answer span from that passage. This is primarily a tool for machine learning researchers and developers interested in replicating and analyzing advanced question answering models.
177 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or developer attempting to reproduce or study the R-NET architecture for extractive question answering.
Not ideal if you need a production-ready question answering system, as this implementation is for research reproduction and may not achieve state-of-the-art performance.
Stars
177
Forks
88
Language
Python
License
MIT
Category
Last pushed
Dec 26, 2017
Commits (30d)
0
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