A Method of Haiku Generation Using Deep Learning for Advertising Generation

被引：0
|
作者：
Ono, Jumpei [1 ]
Ogata, Takashi [2 ]
机构：
[1] Vocat Sch Digital Arts Sendai, Sendai, Miyagi 9800014, Japan
[2] Iwate Prefectural Univ, Sugo, Iwate 0200693, Japan
来源：
ICAROB 2019: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS | 2019年
关键词：
Haiku; Haiku Generation; Deep Learning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We tried various approaches to story generation. One of them was haiku generation using deep learning. The method we tried had several tasks, one of which was to use only word time-series data as training data. Therefore, the result of training can be a model similar to generation based on simple word-transition probability. Consequently, we organized the current tasks, tried to study the features used for training, and generated by applying the learned results. Furthermore, we consider how to use the method proposed in this paper in advertisement generation and in generating different types of stories.
引用
收藏
页码：578 / 580
页数：3
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