Automatic question generation from children's stories for companion chatbot

Che Hao Lee, Tzu Yu Chen, Liang Pu Chen, Ping Che Yang, Richard Tzong Han Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

With the rising trends of dialog system, interactions with questions become a vital human-machine interface in realizing intentions and generating adequate feedback, thereby establishing question generation as an important and interesting research topic. In the education domain, question generation is also useful for reducing time and effort for teachers, as well as parents. Extensive research has been conducted on question generation recently but little focused on question generation in Chinese. In addition, previous papers examining question generation in Chinese, have been poorly reviewed due to the clumsy handling of sentence complexities of Chinese. In this article, we focus on developing a question generation technique based on children's tales. For the training and testing dataset, approximately one hundred articles from the website, (http://www.yfes.tn.edu.tw/yfesvi/story.htm) were used. To achieve better quality of the questions automatically generated, approaches and methods were carefully chosen in this system. The results show that questions generated from our system are mostly acceptable, which reflects the main objective of our system.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 19th International Conference on Information Reuse and Integration for Data Science, IRI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages491-494
Number of pages4
ISBN (Print)9781538626597
DOIs
StatePublished - 2 Aug 2018
Event19th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2018 - Salt Lake City, United States
Duration: 7 Jul 20189 Jul 2018

Publication series

NameProceedings - 2018 IEEE 19th International Conference on Information Reuse and Integration for Data Science, IRI 2018

Conference

Conference19th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2018
Country/TerritoryUnited States
CitySalt Lake City
Period7/07/189/07/18

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