Summarising company announcements

Robert Dale*, Lei Li, Hugo De Vries, Mary Gardiner, Marc Tilbrook

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper describes work that attempts to use language technology as a solution to the problem of information overload. The specific domain of application is the database of company announcements accessible via the web site of the Australian Stock Exchange: to meet regulatory requirements, over 100,000 documents a year are made available via this site, with only limited search facilities. We use a variety of techniques from language technology to make it easier to explore and manage the information in this data set. In this paper, we focus on our use of information extraction, which identifies and extracts important elements of information from a document, and text compaction, which applies linguistically-motived substitutions to reduce potential summary sentences to more compact forms. Together, these techniques provide a way of producing summaries of a significant proportion of the document base.

Original languageEnglish
Title of host publicationProceedings of 2005 IEEE
Subtitle of host publicationInternational Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE'05): Oct. 30 - Nov. 1, Wuhan, China
EditorsChengqing Zong, Maosong Sun
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages651-656
Number of pages6
ISBN (Print)0780393619, 9780780393615
DOIs
Publication statusPublished - 2005
Event2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05 - Wuhan, China
Duration: 30 Oct 20051 Nov 2005

Other

Other2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
CountryChina
CityWuhan
Period30/10/051/11/05

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