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MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension
[article]
2017
arXiv
pre-print
Machine comprehension(MC) style question answering is a representative problem in natural language processing. Previous methods rarely spend time on the improvement of encoding layer, especially the embedding of syntactic information and name entity of the words, which are very crucial to the quality of encoding. Moreover, existing attention methods represent each query word as a vector or use a single vector to represent the whole query sentence, neither of them can handle the proper weight of
arXiv:1707.09098v1
fatcat:uyrcsbkko5aqjkzqlqtzo72hpu