Information Extraction with Single Item Template from Newspaper Articles

6 Citations 7 References
  • IDE Yuji
    Department of Artificial Intelligence, Kyushu Institute of Technology
  • NAGAI Hidetoshi
    Department of Artificial Intelligence, Kyushu Institute of Technology
  • NAKAMURA Teigo
    Department of Artificial Intelligence, Kyushu Institute of Technology
  • NOMURA Hirosato
    Department of Artificial Intelligence, Kyushu Institute of Technology

Bibliographic Information

Other Title
  • 単一項目テンプレートによる新聞記事からの製品情報抽出

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Description

We have been researching a textual analysis method for information extraction from newspaper articles with templates which describe the relationship between information to be extracted and its surrounding strings and have confirmed the effectiveness of our method by experiments. However, as each template contains more than one item to be extracted, the set of templates becomes large and it takes a long time to match an input text with all templates. In this paper, we propose "single item templates" that contain only one item to be extracted to reduce the number of templates and processing time. We show the experimental result to illustrate the effectiveness of our method with single item templates.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 122 63-70, 1997-11-20

    Information Processing Society of Japan (IPSJ)

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Details 詳細情報について

  • CRID
    1571698602153243904
  • NII Article ID
    110002934608
  • NII Book ID
    AN10115061
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

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