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A Rule-based Approach to Identifying Citation Text from Korean Academic Literature

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2012, 29(4), pp.43~60
  • DOI : 10.3743/KOSIM.2012.29.4.043
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 5, 2012
  • Accepted : December 16, 2012
  • Published : December 30, 2012

In-Su Kang 1

1경성대학교

Accredited

ABSTRACT

Identifying citing sentences from article full-text is a prerequisite for creating a variety of future academic information services such as citation-based automatic summarization, automatic generation of review articles, sentiment analysis of citing statements, information retrieval based on citation contexts, etc. However, finding citing sentences is not easy due to the existence of implicit citing sentences which do not have explicit citation markers. While several methods have been proposed to attack this problem for English, it is difficult to find such automatic methods for Korean academic literature. This article presents a rule-based approach to identifying Korean citing sentences. Experiments show that the proposed method could find 30% of implicit citing sentences in our test data in nearly 70% precision.

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