MultiScien: a bi-lingual natural language processing system for mining and enrichment of scientific collections

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dc.contributor.authorSaggion, Horacioca
dc.contributor.authorRonzano, Francescoca
dc.contributor.authorAccuosto, Pabloca
dc.contributor.authorFerrés, Danielca
dc.date.accessioned2017-07-13T09:37:55Z
dc.date.available2017-07-13T09:37:55Z
dc.date.issued2017
dc.descriptionComunicació presentada a: 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) celebrada a Tokyo l'11 d'agost de 2017.
dc.description.abstractIn the current online Open Science context, scientific datasets and tools for deep text analysis, visualization and exploitation play a major role.We present a system for deep analysis and annotation of scientific text collections. We also introduce the first version of the SEPLN Anthology, a bi-lingual (Spanish and English) fully annotated text resource in the field of natural language processing that we created with our system. Moreover, a faceted-search and visualization system to explore the created resource is introduced. All resources created for this paper will be available to the research community.
dc.description.sponsorshipThis work is (partly) supported by the Spanish Ministry of Economy and Com- petitiveness under the Maria de Maeztu Units of Excellence Programme (MDM- 2015-0502) and by the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE).
dc.format.mimetypeapplication/pdfca
dc.identifier.citationSaggion H, Ronzano F, Accuosto P, Ferrés D. MultiScien: a bi-lingual natural language processing system for mining and enrichment of scientific collections. In: Mayr P, Chandrasekaran MK, Jaidka K, editors. Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017); 2017 Aug 11; Tokyo, Japan. [place unknown]: CEUR Workshop Proceedings; 2017. p. 26-40.
dc.identifier.urihttp://hdl.handle.net/10230/32537
dc.language.isoeng
dc.publisherCEUR Workshop Proceedingsca
dc.relation.ispartofMayr P, Chandrasekaran MK, Jaidka K, editors. Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017); 2017 Aug 11; Tokyo, Japan. [place unknown]: CEUR Workshop Proceedings; 2017. p. 26-40.
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R
dc.rights© 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordLanguage Resources
dc.subject.keywordScientific Text Corpora
dc.subject.keywordInformation Extraction
dc.subject.keywordData Visualization
dc.subject.keywordSemantic Analysis
dc.subject.keywordPDF Conversion
dc.titleMultiScien: a bi-lingual natural language processing system for mining and enrichment of scientific collectionsca
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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