[4J4-GS-6g] 言語メディア処理：応用

[4J4-GS-6g-04] Haiku Generation Method to Inject Sence of Surprise using Adversarial Learning

〇Ryuku Nobusue¹, Masanori Akiyoshi² (1. Keio University, 2. Kanagawa University)

Keywords:GAN, Topic Model, Sense of Surprise

In this study, we propose a Haiku generation method that injects a sense of surprise using adversarial learning.The method incorporates unexpectedness and subject clarity of the Haiku to measure these features with the topicmodel pre-trained from Wiki corpus. These features are used in the generator of GAN, where the discriminatorjudges whether such generated Haikus come from man-made or not. Evaluation is done by several questionnairesthat includes AHP, and experimental results show the proposed method has almost the same sense of surprisecompared to Haikus generated by human.