[1O4-GS-7] Vision, speech media processing: detection / data set creation

[1O4-GS-7-05] Construction of Japanese Sarcasm Expression Dataset in Comic and Validation of Effectiveness Using Deep Learning Method

〇Mizuki Tada¹, Makoto Okada¹, Naoki Mori¹ (1. Osaka Prefecture University)

Keywords:Sarcasm, Comic Computing, Deep Learning, Dataset Construction

Nowadays, understanding various rhetorical expressions is an important task in computerized text comprehension. We attempted to construct a dataset of sarcastic expressions in Japanese comics for the purpose of understanding sarcasm in comics. One problem is the lack of data on sarcastic expressions in Japanese. To solve this problem, we used the English sarcasm corpus to estimate sarcasm by constructing several models using deep learning techniques, and applied these models to the comic dialogue data in order to confirm effectiveness of the English dataset to the Japanese data and the possibility of the proposed dataset and method.