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dc.contributor.authorFrank, Eibe
dc.contributor.authorPaynter, Gordon W.
dc.contributor.authorWitten, Ian H.
dc.contributor.authorGutwin, Carl
dc.contributor.authorNevill-Manning, Craig G.
dc.coverage.spatialConference held at Stockholmen_NZ
dc.date.accessioned2008-12-01T03:58:14Z
dc.date.available2008-12-01T03:58:14Z
dc.date.issued1999
dc.identifier.citationFrank, E., Paynter, G.W., Witten, I.H., Gutwin, C. & Nevill-Manning, C.G.(1999). Domain-specific keyphrase extraction. In Proceeding of 16th International Joint Conference on Artificial Intelligence, Stockholm, Sweden(pp.668-673). San Francisco, USA: Morgan Kaufmann Publishers.en_US
dc.identifier.urihttps://hdl.handle.net/10289/1508
dc.description.abstractKeyphrases are an important means of document summarization, clustering, and topic search. Only a small minority of documents have author-assigned keyphrases, and manually assigning keyphrases to existing documents is very laborious. Therefore it is highly desirable to automate the keyphrase extraction process. This paper shows that a simple procedure for keyphrase extraction based on the naive Bayes learning scheme performs comparably to the state of the art. It goes on to explain how this procedure's performance can be boosted by automatically tailoring the extraction process to the particular document collection at hand. Results on a large collection of technical reports in computer science show that the quality of the extracted keyphrases improves significantly when domain-specific information is exploited.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherMorgan Kaufmann Publishers Inc., San Francisco, CA, USAen_US
dc.relation.urihttp://store.elsevier.com/Morgan-Kaufmann/IMP_16/en_US
dc.rightsThis article has been published in Proceeding of 16th International Joint Conference on Artificial Intelligence, Stockholm, Sweden. ©1999 Morgan Kaufmann Publishers.en_US
dc.source16th International Joint Conference on Artificial Intelligence (IJCAI 99)en_NZ
dc.subjectcomputer scienceen_US
dc.subjectkeyphrase extractionen_US
dc.subjectMachine learning
dc.titleDomain-specific keyphrase extractionen_US
dc.typeConference Contributionen_US
dc.relation.isPartOfIJCAI-99 16th International Joint Conference on Artificial Intelligenceen_NZ
pubs.begin-page668en_NZ
pubs.elements-id25186
pubs.end-page673en_NZ
pubs.finish-date1999-08-06en_NZ
pubs.start-date1999-07-31en_NZ
pubs.volumeVolume 2en_NZ


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