Selective Analysis for Automatic Abstracting: Evaluating

Horacio Saggion and Guy Lapalme. Selective Analysis for Automatic Abstracting: Evaluating
Indicativeness and Acceptability. University of Montréal. (On line). Accessibility: http://www.iro.umontreal.ca/~saggion/evaluation2.pdf

Abstract

They have developed a new methodology for automatic abstracting of scientific and technical
articles called Selective Analysis. This methodology allows the generation of indicative informative abstracts integrating different types of information extracted from the source text.
The indicative part of the abstract identifies the topics of the document while the informative one
elaborates some topics according to the reader’s interest. The first evaluation of the methodology
demonstrates that Selective Analysis performs well in the task of signaling the topic of the
document demonstrating the viability of such a technique. The sentences the system produces
from instantiated templates are considered to be as acceptable as human produced sentences.


DUBLIN CORE ELEMENTS

D.C Title : Selective Analysis for Automatic Abstracting: Evaluating
Indicativeness and Acceptability

D.C Creator : Horacio Saggion and Guy Lapalme

D.C Subject : automatic abstracting, scientific and technical article, selective analysis, indicative informative

D.C Description : a new methodology for automatic abstracting of scientific and technical
articles called Selective Analysis.

D.C Publisher : Université de Montréal

D.C Contributor :

D.C Date :

D.C Type : these

D.C Format : PDF

D.C Identifier : http://www.iro.umontreal.ca/~saggion/evaluation2.pdf

D.C Source :

D.C Language : en

D.C Relation :

D.C Coverage :

D.C Rights : Horacio Saggion and Guy Lapalme