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注意力机制论文笔记:Neural Machine Translation by Jointly Learning to Align and Translate
时间 2020-02-11
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论文原文镇四方, 大神护我科研顺利,顶会约稿~~网络 这是注意力机制落地到天然语言处理的一篇论文,好像是第一篇,没有考究。函数 论文中心思想:在传统的机器翻译模型(encoder-decoder)中的decoder中加入注意力机制,使得在解码时再也不使用同一段中间向量,而是有针对地对译文中每个词使用与原文相对的内容来生成的中间向量。学习 如下先解读论文内容(注重点为注意力机制),再从中抽象出注
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1.
Neural Machine Translation by Jointly Learning to Align and Translate
2.
NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
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