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Multitask learning as a question answering

机译:多任务学习作为一个问题应答

摘要

An approach to natural language processing isA multi-layer encoder for encoding words from a word and a word from a context in parallelA multi-layer decoder for decoding an encoded context and encoded queryBased on the output from the decoderContext from wordWord from questionA pointer generator for generating a distribution for a word and a word wordSwitch and.SwitchDistribution from the context to the first wordDistribution for the second word from the questionThe weight of the distribution for the third word of the vocabulary is generated andDistribution from the context to the first wordDistribution for the second word from the questionBased on the weight of the distribution for the third word of the vocabularyGenerate a composite distributionUsing the composite distributionSelect the word to include in the answer.
机译:自然语言处理ISA多层编码器,用于从单词中编码单词的单词和来自Spartara多层解码器中的上下文的单词,用于解码编码的上下文并在从Reposea指针生成器的字词中从DecoderContext上的输出上的QueryBased。 生成单词和单词WordSwitch的分发。从上下文中的关于从问题的第一个字分布到第三个字分布的分布,从问题的分发权重是从上下文到第一个WordDistribution的andDistribution生成的 第二个单词来自题为的权重的权重,用于第三个词的词汇中的第三个词,复合分发复合分发为答案中包含单词。

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