정보관리학회지 (Journal of the Korean Society for information Management)

  • 제29권4호
  • /
  • Pages.43-60
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  • 2012
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  • 1013-0799(pISSN)
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  • 2586-2073(eISSN)
한국정보관리학회 (Korean Society for Information Management)
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한국어 학술 문헌의 본문 인용문 인식을 위한 규칙 기반 방법

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

  • 강인수 (경성대학교 컴퓨터공학부)
  • 투고 : 2012.11.05
  • 심사 : 2012.12.16
  • 발행 : 2012.12.30
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초록

학술 문헌 원문에서 발견되는 인용문은 인용에 기초한 학술문헌 자동 요약, 리뷰 논문 자동 생성, 인용문 감성 분석, 인용문 기반 문헌 검색 등 다양한 학술 정보 서비스의 창출을 가능케 한다. 이러한 서비스가 가능하기 위해서는 원문 텍스트로부터 인용문의 자동 인식이 선행되어야 한다. 그러나 인용문의 인식은 인용 표지가 부착되지 않은 암묵 인용문의 존재로 인해 그 처리가 용이하지 않다. 영어의 경우 최근 이에 대한 연구가 집중되고 있으나 한국어 학술 문헌 내 인용문의 자동 인식 연구는 찾기 힘들다. 이 논문은 한국어 인용문을 자동 인식하는 규칙 기반의 방법을 제시하고 다양한 베이스라인 기법들과 인용문 인식 성능을 비교하였다. 제안된 방법은 테스트 셋 내 전체 암묵 인용문의 30%를 약 70%의 정확률로 인식할 수 있었다.

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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과제정보

연구 과제 주관 기관 : 경성대학교

참고문헌

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피인용 문헌

  1. Recognition of Korean Implicit Citation Sentences Using Machine Learning with Lexical Features vol.16, pp.8, 2015, https://doi.org/10.5762/KAIS.2015.16.8.5565