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.
982 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer working with TensorFlow and need to build or experiment with advanced question-answering models for text comprehension.
Not ideal if you are looking for a ready-to-use, off-the-shelf question-answering tool for end-users, or if you are not comfortable with deep learning frameworks and command-line interfaces.
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Python
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MIT
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Last pushed
May 30, 2018
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