Towards Multi-paper Summarization Using Reference Information

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  • NANBA HIDETSUGU
    School of Information Science, Japan Advanced Institute of Science and Technology
  • OKUMURA MANABU
    School of Information Science, Japan Advanced Institute of Science and Technology

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Other Title
  • 論文間の参照情報を考慮したサーベイ論文作成支援システムの開発

Abstract

In this paper, we present a system to support writing a survey of the specific domain. In this system, we use reference information. Reference information includes the reference relationships between papers and the information which can be derived from the description around the citation, and be useful for understanding the difference between the referring and referred papers. To write a survey, at least two processes are necessary. One is to collect papers of some domain. Another is to make clear the differences between papers. We think the reference information is useful for these two processes. Firstly, we try to extract a fragment of texts where the author describes about a referring paper. We call the fragment “Reference Area”. Secondly, we attempt to analyze the purpose of reference. We divide that into three categories (we call these categories “Reference Types”), and develop the method to determine the type by using cue words, As a result, we got the recall of 79.6% and the precision of 76.3% in reference area extraction, and the accuracy of 83% in reference type decision. Making use of these reference types, we can collect a set of papers in the same domain. Finally, we build up a system to display the reference graph of the papers. With the system, abstracts and reference areas of papers can be seen. Users of this system can easily collect papers of some specific domain, and also can understand the differences between the related papers.

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