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

研究成果: 書貢獻/報告類型會議論文篇章同行評審

13 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2018 IEEE 19th International Conference on Information Reuse and Integration for Data Science, IRI 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面491-494
頁數4
ISBN(列印)9781538626597
DOIs
出版狀態已出版 - 2 8月 2018
事件19th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2018 - Salt Lake City, United States
持續時間: 7 7月 20189 7月 2018

出版系列

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

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???event.eventtypes.event.conference???19th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2018
國家/地區United States
城市Salt Lake City
期間7/07/189/07/18

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