unilight/R-NET-in-Tensorflow
R-NET implementation in TensorFlow.
This tool helps researchers and natural language processing practitioners answer questions based on a given text passage. You input a long text passage and a question, and it identifies the specific segment of the passage that answers the question. It's designed for those working with large question-answering datasets.
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Use this if you need to build or experiment with systems that can automatically extract answers to specific questions directly from provided documents.
Not ideal if you need a general-purpose chatbot or a system that can answer questions without a specific document to draw from, or if you have limited computational resources.
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Language
Python
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Last pushed
Dec 30, 2017
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