iamNCJ/DUMA-pytorch-lightning
Unofficial Implementation of the DUMA Paper
This tool helps researchers and natural language processing practitioners implement the DUMA model for reading comprehension. You input a question and a relevant document or text, and it outputs an accurate answer by 'transposing' information to better understand context. It's designed for those working with advanced NLP models to improve question-answering systems.
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Use this if you are a researcher or NLP engineer looking to experiment with or apply the DUMA model's approach to reading comprehension tasks.
Not ideal if you need an out-of-the-box question-answering application and are not looking to work directly with deep learning model implementations.
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Language
Python
License
MIT
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Last pushed
Aug 19, 2021
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