P19-3005@ACL

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#1 Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System [PDF] [Copy] [Kimi]

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

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.