Guo Zhipeng
2019
Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System
Guo Zhipeng
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Xiaoyuan Yi
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Maosong Sun
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Wenhao Li
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Cheng Yang
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Jiannan Liang
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Huimin Chen
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Yuhui Zhang
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Ruoyu Li
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
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.
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Co-authors
- Xiaoyuan Yi 1
- Maosong Sun 1
- Wenhao Li 1
- Cheng Yang 1
- Jiannan Liang 1
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