DocumentCode :
3318298
Title :
Summarising company announcements
Author :
Dale, Robert ; Lei, Li ; De Vries, Hugo ; Gardiner, Mary ; Tilbrook, Marc
Author_Institution :
Centre for Language Technol., Macquarie Univ., North Ryde, NSW, Australia
fYear :
2005
fDate :
30 Oct.-1 Nov. 2005
Firstpage :
651
Lastpage :
656
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.
Keywords :
Web sites; document handling; financial data processing; information retrieval; natural languages; stock markets; text analysis; Australian Stock Exchange Web site; company announcements; information extraction; information overload; language technology; linguistically-motived substitutions; summary sentences; text compaction; Australia; Compaction; Data mining; Databases; IEEE news; Information management; Monitoring; Stock markets; Technology management; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
Type :
conf
DOI :
10.1109/NLPKE.2005.1598817
Filename :
1598817
Link To Document :
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