2.50
Hdl Handle:
http://hdl.handle.net/2436/27897
Title:
Multi-document summarization of news articles using an event-based framework
Authors:
Ou, Shiyan; Khoo, Christopher S.G.; Goh, Dion H.
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.
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
Type:
Article
Language:
en
ISSN:
0001253X
Appears in Collections:
Computational Linguistics Group; Computational Linguistics Group

Full metadata record

DC FieldValue Language
dc.contributor.authorOu, Shiyan-
dc.contributor.authorKhoo, Christopher S.G.-
dc.contributor.authorGoh, Dion H.-
dc.date.accessioned2008-05-23T16:13:58Z-
dc.date.available2008-05-23T16:13:58Z-
dc.date.issued2006-
dc.identifier.citationAslib Proceedings, 58(3): 197-217en
dc.identifier.issn0001253X-
dc.identifier.doi10.1108/00012530610677237-
dc.identifier.urihttp://hdl.handle.net/2436/27897-
dc.description.abstractPurpose – 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.en
dc.language.isoenen
dc.publisherEmeralden
dc.relation.urlhttp://www.emeraldinsight.com/Insight/viewContentItem.do;jsessionid=29D23BA0068CFAC3FD123E3E99996A34?contentType=Article&contentId=1558374en
dc.subjectDocument handlingen
dc.subjectFunction evaluationen
dc.subjectInformation servicesen
dc.titleMulti-document summarization of news articles using an event-based frameworken
dc.typeArticleen
dc.identifier.journalAslib Proceedingsen
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