R-Net and R-NET-in-Keras

R-Net
51
Established
R-NET-in-Keras
49
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 577
Forks: 209
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 177
Forks: 88
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About R-Net

HKUST-KnowComp/R-Net

Tensorflow Implementation of R-Net

This project helps evaluate and improve machine reading comprehension models. It takes a question and a reference text as input and outputs an answer, along with performance scores (Exact Match and F1) to quantify how well the model understands the text. Researchers and students working on natural language processing and question-answering systems would use this to benchmark and refine their models.

natural-language-processing question-answering machine-comprehension text-understanding academic-research

About R-NET-in-Keras

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.

question-answering natural-language-processing neural-networks deep-learning-research

Related comparisons

R-Net and QANet R-Net and R-NET-in-Tensorflow R-Net and R-NET-in-Tensorflow

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