Abstract
<p indent=0mm>Chinese classical poetry exhibits neat sentence patterns and melodic rhythms, which pose high challenges for creators. Most existing systems focus on generation models without considering user participation. Based on the open-source data of the Gushiwen website, THUNLP-AIPoet, we design and implement WPFY, a visual authoring system for Chinese classical poetry: a configuration view supports specify sentence patterns and emotions; an authoring view automatically generates poetry as the basis, and visualizes the multi-dimensional attributes of poetry such as rhythms and emotions; an auxiliary view presents suggested recommendations. User studies concerning the fluency, emotions, and rhythms of the creations demonstrate the usefulness and effectiveness of WPFY.
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