Welcome to the UPF Digital Repository

LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems

Show simple item record

dc.contributor.author AbuRa'ed, Ahmed Ghassan Tawfiq
dc.contributor.author Chiruzzo, Luis
dc.contributor.author Saggion, Horacio
dc.contributor.author Accuosto, Pablo
dc.contributor.author Bravo Serrano, Àlex, 1984-
dc.date.accessioned 2017-10-05T08:53:21Z
dc.date.available 2017-10-05T08:53:21Z
dc.date.issued 2017
dc.identifier.citation Abura'ed A, Chiruzzo L, Saggion H, Accuosto P, Bravo A. LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems. In: Jaidka K, Chandrasekaran MK, Kan MY. Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017); 2017 Aug 11; Tokyo, Japan. [Aachen]: CEUR-WS; 2017. p. 55-66.
dc.identifier.issn 1613-0073
dc.identifier.uri http://hdl.handle.net/10230/32857
dc.description Comunicació presentada a: CL-SciSumm 2017, organitzat com a part de The 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) i conjuntament amb The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)
dc.description.abstract In recent years there has been an increasing interest in approaches to scienti c summarization that take advantage of the citations a research paper has received in order to extract its main contributions. In this context, the CL-SciSumm 2017 Shared Task has been proposed to address citation-based information extraction and summarization. In this paper we present several systems to address three of the CL-SciSumm tasks. Notably, unsupervised systems to match citing and cited sentences (Task 1A), a supervised approach to identify the type of information being cited (Task 1B), and a supervised citation-based summarizer (Task 2).
dc.description.sponsorship This work is supported by the Spanish Ministry of Economy and Competitiveness 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/pdf
dc.language.iso eng
dc.rights Copyright © 2017 the authors.
dc.title LaSTUS/TALN @ CLSciSumm-17: cross-document sentence matching and scientific text summarization systems
dc.type info:eu-repo/semantics/conferenceObject
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/acceptedVersion

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

In collaboration with Compliant to Partaking