Papers with memory-augmented architecture

1 papers
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller (D18-1)

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Challenge: Existing approaches to machine reading comprehension are limited in understanding, up to a few paragraphs, failing to comprehend lengthy documents.
Approach: They propose a deep neural network architecture to handle a long-range dependency in RC tasks.
Outcome: The proposed method outperforms existing methods especially for lengthy documents.

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