Abstract
This paper gives an overview of a project to generate literature reviews from a set of research papers, based on techniques drawn from human summarization behavior. For this study, we identify the key features of natural literature reviews through a macro-level and clause-level discourse analysis; we also identify human information selection strategies by mapping referenced information to source documents. Our preliminary results of discourse analysis have helped us characterize literature review writing styles based on their document structure and rhetorical structure. These findings will be exploited to design templates for automatic content generation.
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Jaidka, K., Khoo, C., Na, JC. (2010). Imitating Human Literature Review Writing: An Approach to Multi-document Summarization. In: Chowdhury, G., Koo, C., Hunter, J. (eds) The Role of Digital Libraries in a Time of Global Change. ICADL 2010. Lecture Notes in Computer Science, vol 6102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13654-2_14
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DOI: https://doi.org/10.1007/978-3-642-13654-2_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13653-5
Online ISBN: 978-3-642-13654-2
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