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Using Collective Citing Sentences to Recognize Cited Text in Computational Linguistics Articles

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2016, 21(11), pp.85-91
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

In-Su Kang 1

1경성대학교

Accredited

ABSTRACT

This paper proposes a collective approach to cited text recognition by exploiting a set of citing text from different articles citing the same article. First, the proposed method gathers highly-ranked cited sentences from the cited article using a group of citing text to create a collective information of probable cited sentences. Then, such collective information is used to determine final cited sentences among highly-ranked sentences from similarity-based cited text recognition. Experiments have been conducted on the data set which consists of research articles from a computational linguistics domain. Evaluation results showed that the proposed method could improve the performance of similarity-based baseline approaches.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.