JACIII Vol.24 No.2 pp. 199-205
doi: 10.20965/jaciii.2020.p0199


Computer Humor and Human Humor: Construction of Japanese “Nazokake” Riddle Generation Systems

Asuka Terai*, Kento Yamashita**, and So Komagamine***

*Department of Complex and Intelligent Systems, Future University Hakodate
116-2 Kamedanakano-cho, Hakodate, Hokkaido 041-8655, Japan

**FMiruka, Mt. Hakodate Ropeway Corporation
19-7 Motomachi, Hakodate, Hokkaido 040-0054, Japan

***Flower Hills Corporation
4-1 Odori Nishi, Chuo-ku, Sapporo, Hokkaido 060-0042, Japan

May 20, 2019
December 9, 2019
March 20, 2020
humor, dependency analysis, language generation, cognitive science

Humor is important in smooth human communications, however, computer-generated humor is still distinguishable from humor that arises naturally in human communication. The purpose of this study is to construct a computer system that can generate humor in a human-like manner. The method involves using “nazokake” riddles, which comprise a type of Japanese word game. The game creates humorous links between two incongruous premises by linking them semantically to homophones: “Why is A like B? Because X/X,” where A and B are independent premises and X and X are homophones linked to A and B, respectively. In a previous study, a system was constructed to generate such riddles based on a simple word similarity between two nouns that are homophones. This study builds on the previous study by generating more complex riddles based on the dependency relationships between homophonic verb-noun combinations. Subsequently, the two systems are compared with each other by evaluating them against riddles created by humans. The results show that the system based on dependency relationships generated more humorous, unexpected, and natural riddles than that based on word similarities. However, these riddles were not equal to those created by humans.

Cite this article as:
A. Terai, K. Yamashita, and S. Komagamine, “Computer Humor and Human Humor: Construction of Japanese “Nazokake” Riddle Generation Systems,” J. Adv. Comput. Intell. Intell. Inform., Vol.24 No.2, pp. 199-205, 2020.
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