Key element summarisation: Extracting information from company announcements

Robert Dale; Rafael Calvo; Marc Tilbrook

Key element summarisation: Extracting information from company announcements

Robert Dale, Rafael Calvo, Marc Tilbrook

School of Computing

Research output: Contribution to journal › Article › peer-review

3 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 language	English
Pages (from-to)	438-449
Number of pages	12
Journal	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	3339
Publication status	Published - 2004

Cite this

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title = "Key element summarisation: Extracting information from company announcements",

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.",

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AU - Dale, Robert

AU - Calvo, Rafael

AU - Tilbrook, Marc

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AB - 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.

UR - https://www.scopus.com/pages/publications/22944435206

M3 - Article

AN - SCOPUS:22944435206

SN - 0302-9743

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JO - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

JF - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

ER -

Key element summarisation: Extracting information from company announcements

Abstract

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