Deep Poetry: A Chinese Classical Poetry Generation System
This work addresses the need for more flexible and interactive poetry generation tools for users interested in Chinese classical literature, though it is incremental as it builds on existing neural methods.
The authors tackled the problem of generating Chinese classical poetry by developing Deep Poetry, a system that uses neural networks trained on over 200,000 poems and 3 million prose pieces, and it accepts multi-modal inputs like text, images, or artistic conceptions while allowing user participation.
In this work, we demonstrate a Chinese classical poetry generation system called Deep Poetry. Existing systems for Chinese classical poetry generation are mostly template-based and very few of them can accept multi-modal input. Unlike previous systems, Deep Poetry uses neural networks that are trained on over 200 thousand poems and 3 million ancient Chinese prose. Our system can accept plain text, images or artistic conceptions as inputs to generate Chinese classical poetry. More importantly, users are allowed to participate in the process of writing poetry by our system. For the user's convenience, we deploy the system at the WeChat applet platform, users can use the system on the mobile device whenever and wherever possible. The demo video of this paper is available at https://youtu.be/jD1R_u9TA3M.