Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System

Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang, Ruoyu Li


Abstract
Research on the automatic generation of poetry, the treasure of human culture, has lasted for decades. Most existing systems, however, are merely model-oriented, which input some user-specified keywords and directly complete the generation process in one pass, with little user participation. We believe that the machine, being a collaborator or an assistant, should not replace human beings in poetic creation. Therefore, we proposed Jiuge, a human-machine collaborative Chinese classical poetry generation system. Unlike previous systems, Jiuge allows users to revise the unsatisfied parts of a generated poem draft repeatedly. According to the revision, the poem will be dynamically updated and regenerated. After the revision and modification procedure, the user can write a satisfying poem together with Jiuge system collaboratively. Besides, Jiuge can accept multi-modal inputs, such as keywords, plain text or images. By exposing the options of poetry genres, styles and revision modes, Jiuge, acting as a professional assistant, allows constant and active participation of users in poetic creation.
Anthology ID:
P19-3005
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Marta R. Costa-jussà, Enrique Alfonseca
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
25–30
Language:
URL:
https://aclanthology.org/P19-3005
DOI:
10.18653/v1/P19-3005
Bibkey:
Cite (ACL):
Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang, and Ruoyu Li. 2019. Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 25–30, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System (Zhipeng et al., ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/P19-3005.pdf