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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3539-3543

Automatic generation of Chinese poem based on sequence-to-sequence neural network model

Huang Wenming1,2
Wei Wancheng1
Deng Zhenrong1,2
1. College of Computer & Information Security, Guilin University of Electronic Technology, Guilin Guangxi 514004, China
2. Guangxi Colleges & Universities Keys Laboratory of Cloud Computing & Complex Systems, Guilin Guangxi 514004, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0371

Abstract

Computer poetry generation is the first step towards computer writing. At present, there are many problems in computer poetry writing, such as unclear theme, the content of poetry is inconsistent with the writing intention. For solving these problems, this paper followed the process of writing poem by the ancient Chinese poet and proposed a method for generating Chinese poem with two stages. The first stage extracted the outline. During this process, it used TextRank algorithm to extract keywords from user input text, and proposed an attention-based sequence to sequence neural network model for expanding keyword. The second stage generated each line of poem based on the outline of poem. During this process, it proposed a sequence to sequence neural network model with dual-encoding and attention mechanism for generating Chinese poem. At the end, this paper verified the effectiveness of this approach by evaluation. Compared with baseline approach, the theme of the Chinese poem generated by this approach is more explicit, and the contents expressed by the poem are more consistent with the writing intention.

Foundation Support

广西高校云计算与复杂系统重点实验室资助项目(yf17106)
广西自然科学基金资助项目(2018GXNSFAA138132)
桂林电子科技大学研究生教育创新计划资助项目(2018YJCX55)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0371
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3539-3543
Serial Number: 1001-3695(2019)12-004-3539-05

Publish History

[2019-12-05] Printed Article

Cite This Article

黄文明, 卫万成, 邓珍荣. 基于序列到序列神经网络模型的古诗自动生成方法 [J]. 计算机应用研究, 2019, 36 (12): 3539-3543. (Huang Wenming, Wei Wancheng, Deng Zhenrong. Automatic generation of Chinese poem based on sequence-to-sequence neural network model [J]. Application Research of Computers, 2019, 36 (12): 3539-3543. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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