The Automatic Generation of Templates for Automatic Abstracting

Abstract

Our goal is the automatic abstraction of journal articles, initially in the field of crop protection. We build a set of templates against which the original text is compared. The templates are designed so that they match the text at points of high information content, where inferences can be made about which expressions best reflect the content of the document. Strings found by matching templates are assigned roles specific to each template. These roles correspond to slots in a frame which is used to represent the document as a whole. An abstract is generated which contains the concept-strings selected from the text.

Conference

Publication date: April 1999

Publication date (Print): April 1999

Pages: 1-8

Affiliations

Computing Department, Lancaster University

Lancaster, England

Article

DOI: 10.14236/ewic/IRSG1999.11

Copyright statement: © Michael P. Oakes et al. Published by BCS Learning and Development Ltd. 21st Annual BCS-IRSG Colloquium on IR, Glasgow

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 21st Annual BCS-IRSG Colloquium on IR

Conference acronym: IRSG

Conference number: 21

Conference location: Glasgow

Conference date: 19-20 April 1999

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: IR Research

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/IRSG1999.11

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing