基于递归神经网络的标题生成

Yuko Hayashi, H. Yanagimoto
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引用次数: 1

摘要

我们提出了一种基于递归神经网络的标题生成方法。标题生成器由编码器和解码器组成,它们由长短期记忆构成,长短期记忆是递归神经网络的一种。我们在编码器中构建文章的分布式表示,解码器生成标题而不提取文章。在一些评价实验中,我们证实了我们提出的方法可以从文章中生成合适的标题,但在一些文章中,该方法生成随机标题。
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Title Generation with Recurrent Neural Network
We proposed a title generation method with a recurrent neural network using concepts of machine translation. The title generator consists of an encoder and a decoder and they are constructed with Long Short Term Memory, which is one of the recurrent neural networks. We construct a distributed representation of an article in the encoder and the decoder generates a title without extraction of an article. In some evaluational experiments we confirmed that our proposed method could generate appropriate titles from articles but in some articles the method generate random titles.
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