The role of cause-effect link within scientific paper

Mengyun Cao, Xiaoping Sun, Hai Zhuge

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Semantic links within text play an important role in understanding text. Cause-effect link is one of the basic semantic links that represents logic order between representation components of text. The importance of cause-effect link has been recognized and investigated in linguistics, but it has not been accurately measured to support computing applications. This paper is to investigate the role of cause-effect link within scientific paper. Research is conducted along two paths: (1) Human observations: Professionals find cause-effect links within a set of given papers, and then observe the number, the distribution and the keywords coverage of cause-effect links within each paper. The statistical results show that cause-effect links cover 76% keywords within paper on average. (2) Automatically discover more cause-effect links within a set of papers by developing a pattern-based algorithm. The automatically discovered cause-effect links validate the properties drawn from human observations. Experiments show that the algorithm can extract more than 80% of manually labeled links, and the automatically extracted links contain 75% of keywords within paper on average.

Original languageEnglish
Title of host publicationProceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016
EditorsHai Zhuge, Xiaoping Sun
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages32-39
Number of pages8
ISBN (Electronic)978-1-5090-4795-6
DOIs
Publication statusPublished - 11 Jan 2017
Event12th International Conference on Semantics, Knowledge and Grids, SKG 2016 - Beijing, China
Duration: 15 Aug 201617 Aug 2016

Conference

Conference12th International Conference on Semantics, Knowledge and Grids, SKG 2016
CountryChina
CityBeijing
Period15/08/1617/08/16

Bibliographical note

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Keywords

  • causal relation
  • cause-effect link
  • natural language understanding
  • semantic link
  • semantic link network

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  • Automatic question answering based on single document

    Wang, X., Xu, B. & Zhuge, H., 11 Jan 2017, Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. Zhuge, H. & Sun, X. (eds.). Piscataway, NJ (US): IEEE, p. 90-96 7 p. 7815082

    Research output: Chapter in Book/Published conference outputConference publication

  • Ranking scientific articles in a dynamically evolving citation network

    Jiang, X., Gao, C. & Liang, R., 11 Jan 2017, Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids: SKG 2016. Zhuge, H. & Sun, X. (eds.). Piscataway, NJ (US): IEEE, p. 154-157 4 p.

    Research output: Chapter in Book/Published conference outputConference publication

  • Summarization of related work through citations

    Chen, J. & Zhuge, H., 11 Jan 2017, Proceedings - 2016 12th International Conference on Semantics, Knowledge and Grids, SKG 2016. Zhuge, H. & Sun, X. (eds.). IEEE, p. 54-61 8 p.

    Research output: Chapter in Book/Published conference outputConference publication

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