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dc.contributor.author | Saggion, Horacio |
dc.contributor.author | AbuRa'ed, Ahmed Ghassan Tawfiq |
dc.contributor.author | Ronzano, Francesco |
dc.date.accessioned | 2016-06-28T09:49:17Z |
dc.date.available | 2016-06-28T09:49:17Z |
dc.date.issued | 2016 |
dc.identifier.citation | Saggion H, AbuRa'ed A, Ronzano F. Trainable citation-enhanced summarization of scientific articles. In: Cabanac G, Chandrasekaran MK, Frommholz I, Jaidka K, Kan M, Mayr P, Wolfram D, editors. Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL); 2016 June 23; Newark, United States. [place unknown]: CEUR Workshop Proceedings; 2016. p. 175-86. |
dc.identifier.issn | 1613-0073 |
dc.identifier.uri | http://hdl.handle.net/10230/26970 |
dc.description.abstract | In order to cope with the growing number of relevant scientific publications to consider at a given time, automatic text summarization is a useful technique. However, summarizing scientific papers poses important challenges for the natural language processing community. In recent years a number of evaluation challenges have been proposed to address the problem of summarizing a scientific paper taking advantage of its citation network (i.e., the papers that cite the given paper). Here, we present our trainable technology to address a number of challenges in the context of the 2nd Computational Linguistics Scientific Document/nSummarization Shared Task. |
dc.description.sponsorship | This work is (partly) supported by the Spanish Ministry of Economy and Competitiveness under the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), the TUNER project (TIN2015-65308-C5-5-R, MINECO/FEDER, UE) and the European Project Dr. Inventor (FP7-ICT-2013.8.1 - Grant no: 611383). |
dc.format.mimetype | application/pdf |
dc.language.iso | eng |
dc.publisher | CEUR Workshop Proceedings |
dc.relation.ispartof | Cabanac G, Chandrasekaran MK, Frommholz I, Jaidka K, Kan M, Mayr P, Wolfram D, editors. Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL); 2016 June 23; Newark, United States. [place unknown]: CEUR Workshop Proceedings; 2016. p. 175-86. |
dc.rights | Copyright © 2016 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.title | Trainable citation-enhanced summarization of scientific articles |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/611383 |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R |
dc.rights.accessRights | info:eu-repo/semantics/openAccess |
dc.type.version | info:eu-repo/semantics/publishedVersion |