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System and method for korean dependency parsing for pointer networks based on multi-task learning

机译:基于多任务学习的指针网络韩文依存关系分析系统和方法

摘要

In the Korean-dependent syntax analysis system using the multi-task learning-based pointer network of the present invention, an input sequence composed of words including Korean is received and an output string is generated using the encoders, And a decoder for outputting an attention weight which is a probability for each position of the input sequence and outputting a dependency label based on a context vector generated using the attention weight, . According to the present invention, it is possible to shorten the time by combining non-linear activation of deep running.
机译:在使用本发明的基于多任务学习的指针网络的依赖于朝鲜语的语法分析系统中,接收由包括朝鲜语的单词组成的输入序列,并使用编码器生成输出字符串,以及用于输出关注的解码器权重是输入序列每个位置的概率,并基于使用关注权重生成的上下文向量输出依赖项标签。根据本发明,可以通过组合深度行驶的非线性激活来缩短时间。

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