vliu15/qanet
Tensorflow QANet with ELMo
This project helps natural language processing researchers evaluate advanced question-answering models. You provide a dataset of reading passages and corresponding questions, and the model outputs answers along with performance metrics like Exact Match (EM) and F1 scores. It's designed for NLP researchers and practitioners developing or comparing state-of-the-art question-answering systems.
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Use this if you need to train and evaluate a high-performing question-answering model on your text data, particularly for research and development.
Not ideal if you're looking for an out-of-the-box solution to integrate question answering into an application without significant technical setup or understanding of model training.
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15
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Language
Python
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Last pushed
Mar 13, 2019
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