Generating Chinese Classical Poems with RNN Encoder-Decoder

摘要：

　　We take the generation of Chinese classical poetry as a sequence-to-sequence learning problem,and investigate the suitability of recurrent neural network(RNN)for poetry generation task by various qualitative analyses.Then we build a novel system based on the RNN Encoder-Decoder structure to generate quatrains(Jueju in Chinese),with a key-word as input.Our system can learn semantic meaning within a single sentence,semantic relevance among sentences in a poem,and the use of structural,rhythmical and tonal patterns jointly,without utilizing any constraint templates.Experimental results show that our system outper-forms other competitive systems.

关键词： Chinese poetry generation Neural network Machine learn-ing

作者: Xiaoyuan Yi Ruoyu Li Maosong Sun

作者单位: State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer Science and Technology,Tsinghua University,Beijing,China

会议类型: 国内会议

会议名称: 第十六届全国计算语言学学术会议暨第五届基于自然标注大数据的自然语言处理国际学术研讨会

会议地点: 南京

会议语种:英文

页码: 1-13

在线出版日期: 2017-10-13（万方平台首次上网日期，不代表论文的发表时间）