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

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  • dc.contributor.author Saggion, Horacioca
  • dc.contributor.author Ronzano, Francescoca
  • dc.contributor.author Accuosto, Pabloca
  • dc.contributor.author Ferrés, Danielca
  • dc.date.accessioned 2017-07-13T09:37:55Z
  • dc.date.available 2017-07-13T09:37:55Z
  • dc.date.issued 2017
  • dc.description Comunicació 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.abstract In 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.sponsorship This 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.mimetype application/pdfca
  • dc.identifier.citation Saggion 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.uri http://hdl.handle.net/10230/32537
  • dc.language.iso eng
  • dc.publisher CEUR Workshop Proceedingsca
  • dc.relation.ispartof 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.relation.projectID info: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.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Language Resources
  • dc.subject.keyword Scientific Text Corpora
  • dc.subject.keyword Information Extraction
  • dc.subject.keyword Data Visualization
  • dc.subject.keyword Semantic Analysis
  • dc.subject.keyword PDF Conversion
  • dc.title MultiScien: a bi-lingual natural language processing system for mining and enrichment of scientific collectionsca
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/acceptedVersion

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