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Table of Contents
1. Introduction, 2. Memory Networks, 3. A MemNN Implementation for Text, 4. Related Work, 5. Experiments
Summary
Memory Networks describe a new class of learning models that reason with inference components combined with a long-term memory component. They investigate these models in the context of question answering, where the long-term memory acts as a knowledge base. The paper discusses the framework, implementation, experiments, and related works in detail.