Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10579-012-9210-3
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dc.titleAutomatic keyphrase extraction from scientific articles
dc.contributor.authorKim, S.N.
dc.contributor.authorMedelyan, O.
dc.contributor.authorKan, M.-Y.
dc.contributor.authorBaldwin, T.
dc.date.accessioned2014-07-04T03:09:11Z
dc.date.available2014-07-04T03:09:11Z
dc.date.issued2013-09
dc.identifier.citationKim, S.N., Medelyan, O., Kan, M.-Y., Baldwin, T. (2013-09). Automatic keyphrase extraction from scientific articles. Language Resources and Evaluation 47 (3) : 723-742. ScholarBank@NUS Repository. https://doi.org/10.1007/s10579-012-9210-3
dc.identifier.issn1574020X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/77825
dc.description.abstractThis paper describes the organization and results of the automatic keyphrase extraction task held at the Workshop on Semantic Evaluation 2010 (SemEval-2010). The keyphrase extraction task was specifically geared towards scientific articles. Systems were automatically evaluated by matching their extracted keyphrases against those assigned by the authors as well as the readers to the same documents. We outline the task, present the overall ranking of the submitted systems, and discuss the improvements to the state-of-the-art in keyphrase extraction. © 2012 Springer Science+Business Media Dordrecht.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s10579-012-9210-3
dc.sourceScopus
dc.subjectKeyphrase extraction
dc.subjectScientific document processing
dc.subjectSemEval-2010
dc.subjectShared task
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/s10579-012-9210-3
dc.description.sourcetitleLanguage Resources and Evaluation
dc.description.volume47
dc.description.issue3
dc.description.page723-742
dc.identifier.isiut000323754700007
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