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oai:recercat.cat:10230/352012025-12-18T01:16:09Zcom_2072_6col_2072_452952

LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using regression and convolutions for cross-document semantic linking and summarization of scholarly literature AbuRa'ed, Ahmed Ghassan Tawfiq Bravo Serrano, Àlex, 1984- Chiruzzo, Luis Saggion, Horacio Citation-based summarization Scientific document analysis Convolutional neural networks Text-similarity measures Comunicació presentada al congrés BIRNDL 2018, 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries que va tenir lloc el 21 de juliol de 2018 a Ann Arbor, Estats Units. In this paper we present several systems developed to partic- ipate in the 3rd Computational Linguistics Scienti c Document Summa- rization Shared challenge which addresses the problem of summarizing a scienti c paper taking advantage of its citation network (i.e., the pa- pers that cite the given paper). Given a cluster of scienti c documents where one is a reference paper (RP) and the remaining documents are papers citing the reference, two tasks are proposed: (i) to identify which sentences in the reference paper are being cited and why they are cited, and (ii) to produce a citation-based summary of the reference paper using the information in the cluster. Our systems are based on both supervised (Convolutional Neural Networks) and unsupervised techiques taking ad- vantage of word embeddings representations and features computed from the linguistic and semantic analysis of the documents. 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). 2018-07-19T07:43:12Z 2018-07-19T07:43:12Z 2018 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Abura'ed A, Bravo À, Chiruzzo L, Saggion H. LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using regression and convolutions for cross-document semantic linking and summarization of scholarly literature. In: Mayr P, Chandrasekaran MK, Jaidka K, editors. BIRNDL 2018. 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries; 2018 Jul 21; Ann Arbor, MI. [place unknown]: CEUR; 2018. p. 150-63. http://hdl.handle.net/10230/35201 eng Mayr P, Chandrasekaran MK, Jaidka K, editors. BIRNDL 2018. 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries; 2018 Jul 21; Ann Arbor, MI. [place unknown]: CEUR; 2018. p. 150-63. info:eu-repo/grantAgreement/ES/1PE/TIN2015-65308-C5-5-R Copyright © 2018 the authors https://creativecommons.org/licenses/by-nc-sa/3.0/es/ info:eu-repo/semantics/openAccess application/pdf application/pdf CEUR Workshop Proceedings