Automatic keyphrase extraction from scientific articles.
This 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 extr...
| Publicado en: | Language Resources & Evaluation Vol. 47; no. 3; pp. 723 - 743 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Sep2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=90015533&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 90015533 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Sep2013 vid: 47 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 90015533 10.1007/s10579-012-9210-3 ppf: 723 ppct: 20 formats: fmt: @attributes: type: P size: 274KB tig: atl: Automatic keyphrase extraction from scientific articles. aug: au: Kim, Su Medelyan, Olena Kan, Min-Yen Baldwin, Timothy affil: Department of Computing and Information Systems, The University of Melbourne, Melbourne Australia Pingar, Auckland New Zealand School of Computing, National University of Singapore, Singapore Singapore su: Automation Extraction (Linguistics) Semantics Works councils Documentation Information resources sug: subj: Automation Extraction (Linguistics) Semantics Works councils Documentation Information resources keyword: Keyphrase extraction Scientific document processing SemEval-2010 Shared task ab: This 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2013. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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