文章基本信息

标题：Generating Chinese Classical Poems Based on Images
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作者：Xiaoyu Wang ; Xiaoyu Wang ; Xian Zhong 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：40-44
出版社：Newswood and International Association of Engineers
摘要：With the development of the artificial intelligence technology, Chinese classical poems automatic generation has received a fair amount of focus in decades. In this paper, based on technology of natural language processing and image description, we present a Chinese classical poems automatically generative model, which can compose a piece of poetry related to the picture content. At the first stage, we use improved VGG16 model to predict the input image. The output of this part is forecast result in Chinese. Then, the model will generate a piece of poetry according to the prediction result based on RNN (Recurrent Neural Network). Specially, we use acrostic poems to make the generative classical poetry associated with the given picture.
关键词：Chinese poems generation; recurrent neural network; natural language processing; artificial intelligence