Rhyming Knowledge-Aware Deep Neural Network for Chinese Poetry Generation

Wen Chao Yeh, Yung Chun Chang, Yu Hsuan Li, Wei Chieh Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analyzing and capturing the spirit in the historic Tang Dynasty poems for creating a machine that can compose new poetry is a difficult but fun challenge. In this research, we propose a rhyming knowledge-aware deep neural network for Chinese poetry generation. The model fuses rhyming knowledge that represents phonological tones into a long short-term memory (LSTM) model. This work will help us understand more about what kind of mechanism within the neural network contributes to different styles of the generated poems. The experimental results demonstrate that the proposed method is able to guide the style of those poems towards higher phonological compliance, fluency, coherence, and meaningfulness, as evaluated by human experts. We believe that future research can adopt our approach to further integrate more knowledge such as sentiments, POS, and even stylistic patterns found in poems by famous poets into poem generation.

Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728128160
DOIs
Publication statusPublished - Jul 2019
Event18th International Conference on Machine Learning and Cybernetics, ICMLC 2019 - Kobe, Japan
Duration: Jul 7 2019Jul 10 2019

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume2019-July
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference18th International Conference on Machine Learning and Cybernetics, ICMLC 2019
CountryJapan
CityKobe
Period7/7/197/10/19

    Fingerprint

Keywords

  • Chinese poems generation
  • Natural language generation
  • Sequence-to-Sequence

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Human-Computer Interaction

Cite this

Yeh, W. C., Chang, Y. C., Li, Y. H., & Chang, W. C. (2019). Rhyming Knowledge-Aware Deep Neural Network for Chinese Poetry Generation. In Proceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019 [8949208] (Proceedings - International Conference on Machine Learning and Cybernetics; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICMLC48188.2019.8949208