Revealing the Importance of Semantic Retrieval for Machine Reading at Scale

IJCNLP 2019 Yixin NieSonghe WangMohit Bansal

Machine Reading at Scale (MRS) is a challenging task in which a system is given an input query and is asked to produce a precise output by "reading" information from a large knowledge base. The task has gained popularity with its natural combination of information retrieval (IR) and machine comprehension (MC)... (read more)

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