Key element summarisation: extracting information from company announcements

Authors:
Robert Dale;Rafael Calvo;Marc Tilbrook
Affiliations:
Centre for Language Technology, Macquarie University, Sydney;Web Engineering Group, University of Sydney, Sydney;Centre for Language Technology, Macquarie University, Sydney
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

In this paper, we describe KES, a system that integrates text categorisation and information extraction in order to extract key elements of information from particular types of documents, with these informational elements being presented in such a way as to provide a concise summary of the input document We describe the overall architecture of the system and its components, with a particular focus on the problems involved in handling the names of companies and individuals in this domain.