JRC1995/Dynamic-Memory-Network-Plus
Implementation of Dynamic Memory Network Plus for Question-Answering. Tested on Induction tasks of bAbi 10K dataset.
This project helps train a question-answering system that can understand a story and answer questions about it. You provide a collection of facts or statements (the 'story') and a question related to those facts, and the system attempts to provide the correct answer. It's designed for researchers or developers working on natural language understanding and machine comprehension tasks.
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Use this if you are a researcher or NLP engineer looking to experiment with or benchmark a Dynamic Memory Network Plus implementation for question-answering on datasets like bAbi tasks.
Not ideal if you need a production-ready, highly accurate question-answering system for complex, real-world data, as this implementation is for research and experimentation.
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MIT
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Last pushed
Dec 01, 2017
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