Imitating human literature review writing: an approach to multi-document summarization

  • Authors:
  • Kokil Jaidka;Christopher Khoo;Jin-Cheon Na

  • Affiliations:
  • Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore;Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore;Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore

  • Venue:
  • ICADL'10 Proceedings of the role of digital libraries in a time of global change, and 12th international conference on Asia-Pacific digital libraries
  • Year:
  • 2010

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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.