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Wolverhampton Intellectual Repository and E-Theses > Research Institutes > Research Institute in Information and Language Processing > Computational Linguistics Group > Multi-document summarization of news articles using an event-based framework

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/27897
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Title: Multi-document summarization of news articles using an event-based framework
Authors: Ou, Shiyan
Khoo, Christopher S.G.
Goh, Dion H.
Citation: Aslib Proceedings, 58(3): 197-217
Publisher: Emerald
Journal: Aslib Proceedings
Issue Date: 2006
URI: http://hdl.handle.net/2436/27897
DOI: 10.1108/00012530610677237
Additional Links: http://www.emeraldinsight.com/Insight/viewContentItem.do;jsessionid=29D23BA0068CFAC3FD123E3E99996A34?contentType=Article&contentId=1558374
Abstract: Purpose – The purpose of this research is to develop a method for automatic construction of multi-document summaries of sets of news articles that might be retrieved by a web search engine in response to a user query. Design/methodology/approach – Based on the cross-document discourse analysis, an event-based framework is proposed for integrating and organizing information extracted from different news articles. It has a hierarchical structure in which the summarized information is presented at the top level and more detailed information given at the lower levels. A tree-view interface was implemented for displaying a multi-document summary based on the framework. A preliminary user evaluation was performed by comparing the framework-based summaries against the sentence-based summaries. Findings – In a small evaluation, all the human subjects preferred the framework-based summaries to the sentence-based summaries. It indicates that the event-based framework is an effective way to summarize a set of news articles reporting an event or a series of relevant events. Research limitations/implications – Limited to event-based news articles only, not applicable to news critiques and other kinds of news articles. A summarization system based on the event-based framework is being implemented. Practical implications – Multi-document summarization of news articles can adopt the proposed event-based framework. Originality/value – An event-based framework for summarizing sets of news articles was developed and evaluated using a tree-view interface for displaying such summaries.
Type: Article
Language: en
Keywords: Document handling
Function evaluation
Information services
ISSN: 0001253X
Appears in Collections: Computational Linguistics Group
Computational Linguistics Group

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