Document modelling for customised information delivery

Shijian Lu*, Cécile Paris, Mingfang Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

As the amount of information available to people multiplies at an increasing speed, it becomes ever more important to deliver information customised to users' specific needs. Natural Language Generation systems coupled with user modeling techniques have been built to address this issue, to produce information that is relevant to the users . A common approach adopted by such systems is an approach based on planning, starting from a discourse (or communicative) goal, and planning the text to be presented to the users. However, these systems are not easy to build and difficult to change by domain experts. One of the problems is that it is hard to specify the plans employed, because they often require knowledge about writing, domain expertise, knowledge of computational linguistics and, finally, knowledge about how to obtain data from the underlying information sources. In this paper, we present our first step to address this problem.

Original languageEnglish
Title of host publicationADCS 2005 - Proceedings of the Tenth Australasian Document Computing Symposium
Pages11-18
Number of pages8
Publication statusPublished - 2005
Event10th Australasian Document Computing Symposium, ACDS 2005 - Sydney, NSW, Australia
Duration: 12 Dec 200512 Dec 2005

Other

Other10th Australasian Document Computing Symposium, ACDS 2005
CountryAustralia
CitySydney, NSW
Period12/12/0512/12/05

Keywords

  • Document generation
  • Document modeling
  • Information retrieval
  • Personalized documents

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