Learning to Organize Knowledge and Answer Questions with N-Gram Machines

arXiv: Computation and Language, 2019.

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Abstract:

Though deep neural networks have great success in natural language processing, they are limited at more knowledge intensive AI tasks, such as open-domain Question Answering (QA). Existing end-to-end deep QA models need to process the entire text after observing the question, and therefore their complexity in responding a question is linea...More

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