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.
577 stars. No commits in the last 6 months.
Use this if you are a researcher or student in natural language processing looking to implement and benchmark a machine reading comprehension model, specifically for extractive question answering.
Not ideal if you need a plug-and-play solution for general text summarization or conversational AI, as this project is focused on a specific type of question answering.
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577
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209
Language
Python
License
MIT
Category
Last pushed
Aug 08, 2018
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