Text-level structure of research papers: implications for text-based information processing systems

  • Authors:

  • Noriko Kando

  • Affiliations:

  • Department of IR Theory, Royal School of Librarianship, Copenhagen, Denmark and Research and Development Department, National Center for Science Information Systems, Tokyo, Japan

  • Venue:
  • IRSG'97 Proceedings of the 19th Annual BCS-IRSG conference on Information Retrieval Research
  • Year:
  • 1997

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Abstract

This paper discusses the implication of text-level structure for text-based information processing systems. In this paper, text-level structure of research papers is described with a set of typical functional components of research papers such as, background, purpose, methods, etc. and their order in a text. In order to suggest various applications, the experiments of retrieval and passage extraction were conducted using a manually structure-tagged fulltext database of research papers. As a result, we show that searching full-length texts using text-level structure achieved higher precision, compared to the searching without it. The paper also shows examples of extracted passages and suggests the application of text-level structure for text-based information systems, including passage extraction, browsing, and navigation within/across texts.