Multilingual Short Text Responses Clustering for Mobile Educational Activities: A Preliminary Exploration

Yuen Hsien Tseng, Lung Hao Lee, Yu Ta Chien, Chun Yen Chang, Tsung Yen Li

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Text clustering is a powerful technique to detect topics from document corpora, so as to provide information browsing, analysis, and organization. On the other hand, the Instant Response System (IRS) has been widely used in recent years to enhance student engagement in class and thus improve their learning effectiveness. However, the lack of functions to process short text responses from the IRS prevents the further application of IRS in classes. Therefore, this study aims to propose a proper short text clustering module for the IRS, and demonstrate our implemented techniques through real-world examples, so as to provide experiences and insights for further study. In particular, we have compared three clustering methods and the result shows that theoretically better methods need not lead to better results, as there are various factors that may affect the final performance.

原文???core.languages.en_GB???
主出版物標題ACL 2018 - Natural Language Processing Techniques for Educational Applications, Proceedings of the 5th Workshop
發行者Association for Computational Linguistics (ACL)
頁面157-164
頁數8
ISBN(電子)9781948087353
出版狀態已出版 - 2018
事件ACL 2018 5th Workshop on Natural Language Processing Techniques for Educational Applications, NLPTEA 2018 - Melbourne, Australia
持續時間: 19 7月 2018 → …

出版系列

名字Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN(列印)0736-587X

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???event.eventtypes.event.conference???ACL 2018 5th Workshop on Natural Language Processing Techniques for Educational Applications, NLPTEA 2018
國家/地區Australia
城市Melbourne
期間19/07/18 → …

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