Study on Development of Humor Discriminator for Dialogue System

Author:

Yoshikawa Tomohiro, ,Iwakura Ryosuke

Abstract

Studies on automatic dialogue systems, which allow people and computers to communicate with each other using natural language, have been attracting attention. In particular, the main objective of a non-task-oriented dialogue system is not to achieve a specific task but to amuse users through chat and free dialogue. For this type of dialogue system, continuity of the dialogue is important because users can easily get tired if the dialogue is monotonous. On the other hand, preceding studies have shown that speech with humorous expressions is effective in improving the continuity of a dialogue. In this study, we developed a computer-based humor discriminator to perform user- or situation-independent objective discrimination of humor. Using the humor discriminator, we also developed an automatic humor generation system and conducted an evaluation experiment with human subjects to test the generated jokes. A t-test on the evaluation scores revealed a significant difference (P value: 3.5×10-5) between the proposed and existing methods of joke generation.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference25 articles.

1. V. Zue, S. Seneff, J. R. Glass, J. Polifroni, C. Pao, T. J. Hazen, and L. Hetherington, “JUPlTER: a telephone-based conversational interface for weather information,” IEEE Trans. on Speech and Audio Processing, Vol.8, No.1, pp. 85-96, 2000.

2. T. Misu and T. Kawahara, “Speech-Based Interactive Information Guidance System using Question-Answering Technique,” Proc. of the 2007 Int. Conf. on Acoustics, Speech and Signal Processing, Volume 4, pp. 145-148, 2007.

3. K. Miyazawa, T. Tokoyo, Y. Masui, N. Matsuo, and H. Kikuchi, “Factors of Interaction in the Spoken Dialogue System with High Desire of Sustainability,” The Trans. of the Institute of Electronics, Information and Communication Engineers A, Vol.95, No.1, pp. 27-36, 2012 (in Japanese).

4. T. Yamaguchi, K. Inoue, K. Yoshino, K. Takanashi, N. G. Ward, and T. Kawahara, “Analysis and Prediction of Morphological Patterns of Backchannels for Attentive Listening Agents,” Proc. of the 7th Int. Workshop on Spoken Dialogue Systems, pp. 1-12, 2016.

5. S. Kobyashi and M. Hagiwara, “Non-task-oriented dialogue system considering user’s preference and human relations,” Trans. of the Japanese Society for Artificial Intelligence, Vol.31, No.1, Article No.DSF-A_1-10, 2016 (in Japanese).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3