Key element summarisation

Extracting information from company announcements

Robert Dale, Rafael Calvo, Marc Tilbrook

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)438-449
Number of pages12
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3339
Publication statusPublished - 2004

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