Thesis-1997-Tinker.pdf (2.85 MB)
Download file

Automatic abstracting: a review and an empirical evaluation

Download (2.85 MB)
educational resource
posted on 21.09.2018, 08:11 authored by Amanda J. Tinker
The abstract is a fundamental tool in information retrieval. As condensed representations, they facilitate conservation of the increasingly precious search time and space of scholars, allowing them to manage more effectively an ever-growing deluge of documentation. Traditionally the product of human intellectual effort, attempts to automate the abstracting process began in 1958. Two identifiable automatic abstracting techniques emerged which reflect differing levels of ambition regarding simulation of the human abstracting process, namely sentence extraction and text summarisation. This research paradigm has recently diversified further, with a cross-fertilisation of methods. Commercial systems are beginning to appear, but automatic abstracting is still mainly confined to an experimental arena. The purpose of this study is firstly to chart the historical development and current state of both manual and automatic abstracting; and secondly, to devise and implement an empirical user-based evaluation to assess the adequacy of automatic abstracts derived from sentence extraction techniques according to a set of utility criteria. [Continues.]

History

School

  • Science

Department

  • Information Science

Publisher

© A.J. Tinker

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

1997

Notes

A Master's dissertation. Submitted in partial fulfilment of the requirements for the award of Master of Science degree of Loughborough University.

Language

en

Qualification name

MSc

Qualification level

Masters

Usage metrics

Keywords

Exports