@inbook{22eb36301d3b42e28455620b92bc6dfa,
title = "Semantic analysis-enhanced natural language interaction in ubiquitous learning",
abstract = "Natural language interaction (NLI) is vital and ubiquitous by nature in education environments. It will keep playing key roles in ubiquitous learning and even show stronger presence there. NLI may happen ubiquitously, with many varied forms of texts, bigger textual data, and different learning situations on all kinds of devices, to meet new user needs, thus pose challenges on its design and development. This chapter introduces how natural language processing (NLP) technologies can be employed to help build and improve NLI that can support ubiquitous learning. We emphasize semantic analysis such as semantic role labeling and semantic similarity, and develop and use them to enhance question and answer processing, automated question answering, and automatic text summarization that are involved in our educational systems. Our proposed approaches can improve the technology of natural language processing and help develop different NLI systems in the ubiquitous learning environments and eventually benefit learners.",
keywords = "Automatic text summarization, Natural language processing, Question answering, Semantic analysis, Topic modeling, Ubiquitous learning",
author = "Dunwei Wen and Yan Gao and Guangbing Yang",
note = "Funding Information: Yan Gao is an Associated Professor in the School of Information Science and Engineering, Central South University, Hunan, China. She received her Ph.D. from the same university in Pattern Recognition and intelligent systems in 2007. She is currently a Visiting Scholar at Athabasca University, Canada. Her research interests include natural language processing and data mining. She has published more than 10 papers since 2006 in these fields, most of them are indexed by EI. She has participated in three projects sponsored by National Science Fund of China and hosted two projects sponsored by Hunan Technology Department and Ministry of Education of China. Funding Information: Acknowledgments The authors acknowledge the support of Research Incentive Grant (RIG) of Athabasca University. This work was also partly supported by NSERC, iCORE, Xerox, and the research-related gift funding by Mr. A. Markin. Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.",
year = "2015",
doi = "10.1007/978-3-662-44659-1_7",
language = "English",
series = "Lecture Notes in Educational Technology",
number = "9783662446584",
pages = "119--137",
booktitle = "Lecture Notes in Educational Technology",
edition = "9783662446584",
}