DISCOURSE-LEVEL STRUCTURE IN ABSTRACTS.

Elizabeth D. Liddy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

An investigation was undertaken into the possibility of automatically detecting how concepts exist in relationship to each other in abstracts, a text-type commonly used in free-text retrieval. The end goal of this research is to capture these relationships in structured representations of abstracts' contents so that users can require not only that the concepts of interest to them co-occur in the retrieved documents, but also that the roles they play in relation to each other are the ones of interest. Four tasks found useful in revealing other schema were performed by expert abstractors. The results were analyzed and used as the basis of developing a frame-like structure of abstracts reporting on empirical work. A discourse linguistic analysis of a sample of 276 abstracts identified the lexical/syntactic clues which could be used by a system to automatically instantiate the frame-like structure of individual abstracts.

Original languageEnglish (US)
Title of host publicationProceedings of the ASIS Annual Meeting
EditorsChing-chih Chen
PublisherLearned Information Inc
Pages138-147
Number of pages10
ISBN (Print)0938734199
StatePublished - Dec 1 1987

Publication series

NameProceedings of the ASIS Annual Meeting
Volume24
ISSN (Print)0044-7870

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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    Liddy, E. D. (1987). DISCOURSE-LEVEL STRUCTURE IN ABSTRACTS. In C. Chen (Ed.), Proceedings of the ASIS Annual Meeting (pp. 138-147). (Proceedings of the ASIS Annual Meeting; Vol. 24). Learned Information Inc.