Learning to Answer Questions by Understanding Using Entity-Based Memory Network

Computación y Sistemas, Volume 21, Issue 4, 2017.

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Abstract:

This paper introduces a novel neural network model for question answering, the entity-based memory network. It enhances neural networks’ ability of representing and calculating information over along period by keeping records of entities containedin text. The core component is a memory pool which comprises entities’ states. These entities...More

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