R-Net and QANet

R-Net
51
Established
QANet
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 577
Forks: 209
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 982
Forks: 300
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 QANet

localminimum/QANet

A Tensorflow implementation of QANet for machine reading comprehension

This project helps developers implement a machine reading comprehension system capable of understanding text and answering questions about it. It takes a body of text (like an article or document) and a question as input, then outputs the most relevant short answer directly from the provided text. This is useful for AI/ML engineers building question-answering applications.

natural-language-processing machine-reading-comprehension question-answering-systems deep-learning-engineering text-understanding

Related comparisons

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

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