Referring via document parts

Ivandré Paraboni, Kees Van Deemter

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

1 Citation (Scopus)

Abstract

Documents in a wide range of genres often contain references to their
own sections, pictures etc. We call such referring expressions instances of
Document Deixis. The present work focuses on the generation of Document
Deixis in the context of a particular kind of natural language generation system
in which these descriptions are not specified as part of the input, i.e., when it is
up to the system to decide whether a reference is called for and, if so, which
document entity it should refer to. We ask under what circumstances it is advantageous to describe domain objects in terms of the document parts where
they are mentioned (as in “the insulin described in section 2”). We report on an
experiment suggesting that such indirect descriptions are preferred by human
readers whenever they cause the generated descriptions to be shorter than they
would otherwise be.
Original languageEnglish
Title of host publicationProcs. of Seventh International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-2006)
EditorsAlexander Gelbukh
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages299-310
Number of pages12
ISBN (Electronic)978-3-540-32206-1
ISBN (Print)978-3-540-32205-4, 3-540-32205-1
DOIs
Publication statusPublished - 2006
EventSeventh International Conference on Intelligent Text Processing and Computational Linguistics - Mexico City, Mexico
Duration: 19 Feb 200625 Feb 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume3878
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceSeventh International Conference on Intelligent Text Processing and Computational Linguistics
Country/TerritoryMexico
CityMexico City
Period19/02/0625/02/06

Bibliographical note

This work was part of the PhD project of the first author and it has been supported by
the CNPq – Brazilian research Council

Keywords

  • Generation of Referring Expressions. References to/via document parts.
  • Folic Acid
  • Regen Strategy
  • Definite Description
  • Incremental Algorithm
  • Prefer Attribute

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