dc.contributor.authorSun, Zhenen_US
dc.date.accessioned2010-04-23T01:31:44Z
dc.date.accessioned2017-07-23T08:28:57Z
dc.date.available2010-04-23T01:31:44Z
dc.date.available2017-07-23T08:28:57Z
dc.date.copyright2007en_US
dc.date.issued2007
dc.identifier.citationSun, Z. (2007). Domain specific event topic information extraction on large text collections. Master’s thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/35738
dc.description110 p.en_US
dc.description.abstractIn this research, we examine the problem of extracting information about domain specific event topics from a large document collection. Given a user query that specifies some seed information about an event topic, a conventional document retrieval system usually finds documents where the given query terms appear frequently but not necessarily the documents containing a complete set of information about the event topic. Documents related to the event topic but not containing the query terms will not be returned. A novel way of representing information about an event topic by its entity and relation instances has been introduced in this thesis.en_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
dc.titleDomain specific event topic information extraction on large text collectionsen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.contributor.supervisorLim Ee Peng (RSIS)en_US
dc.description.degreeMASTER OF ENGINEERING (SCE)en_US


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