{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T20:20:18Z","timestamp":1777407618639,"version":"3.51.4"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61966004"],"award-info":[{"award-number":["61966004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61663004"],"award-info":[{"award-number":["61663004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61967002"],"award-info":[{"award-number":["61967002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61762078"],"award-info":[{"award-number":["61762078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61866004"],"award-info":[{"award-number":["61866004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2016GXNSFAA380146"],"award-info":[{"award-number":["2016GXNSFAA380146"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2017GXNSFAA198365"],"award-info":[{"award-number":["2017GXNSFAA198365"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2018GXNSFDA281009"],"award-info":[{"award-number":["2018GXNSFDA281009"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Fund of Guangxi Key Lab of Multi-Source Information Mining and Security","award":["16-A-03-02"],"award-info":[{"award-number":["16-A-03-02"]}]},{"name":"Research Fund of Guangxi Key Lab of Multi-Source Information Mining and Security","award":["MIMS18-08"],"award-info":[{"award-number":["MIMS18-08"]}]},{"name":"Research Fund of Guangxi Key Lab of Multi-Source Information Mining and Security","award":["MIMS19-02"],"award-info":[{"award-number":["MIMS19-02"]}]},{"name":"Guangxi Bagui Scholar Teams for Innovation and Research Project"},{"name":"Guangxi Collaborative Innovation Center of Multi-source Information Integration and Intelligent Processing"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2965575","type":"journal-article","created":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T21:00:31Z","timestamp":1578690031000},"page":"11279-11288","source":"Crossref","is-referenced-by-count":60,"title":["Text Summarization Method Based on Double Attention Pointer Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5313-6134","authenticated-orcid":false,"given":"Zhixin","family":"Li","sequence":"first","affiliation":[]},{"given":"Zhi","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Suqin","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Canlong","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5104-8982","authenticated-orcid":false,"given":"Huifang","family":"Ma","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref38","first-page":"1808","article-title":"Improving abstraction in text summarization","author":"kry?ci?ski","year":"2018","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1229"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1443"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1096"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2047"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1108"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1222"},{"key":"ref35","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent"},{"key":"ref34","first-page":"1693","article-title":"Teaching machines to read and comprehend","author":"hermann","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","first-page":"74","article-title":"Rouge: A package for automatic evaluation of summaries","author":"lin","year":"2004","journal-title":"Proc 42nd Ann Meeting of the Assoc for Computational Linguistics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852118"},{"key":"ref12","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1028"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2102"},{"key":"ref15","first-page":"1243","article-title":"Convolutional sequence to sequence learning","author":"gehring","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2027"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313619"},{"key":"ref18","first-page":"4784","article-title":"Faithful to the original: Fact aware neural abstractive summarization","author":"cao","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1015"},{"key":"ref28","article-title":"A structured self-attentive sentence embedding","author":"lin","year":"2017","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1099"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.131"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1044"},{"key":"ref6","first-page":"8109","article-title":"Generative adversarial network for abstractive text summarization","author":"liu","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref29","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","article-title":"A deep reinforced model for abstractive summarization","author":"paulus","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref8","first-page":"1171","article-title":"Scheduled sampling for sequence prediction with recurrent neural networks","author":"bengio","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1150"},{"key":"ref2","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","article-title":"Sequence level training with recurrent neural networks","author":"ranzato","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref1","first-page":"1700","article-title":"Recurrent continuous translation models","author":"kalchbrenner","year":"2013","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017362"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1154"},{"key":"ref21","first-page":"2692","article-title":"Pointer networks","author":"vinyals","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1008"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1014"},{"key":"ref26","first-page":"3097","article-title":"Neural machine translation with reconstruction","author":"tu","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref25","article-title":"Google’s neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016","journal-title":"arXiv 1609 08144"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08955869.pdf?arnumber=8955869","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:57:07Z","timestamp":1642003027000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8955869\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2965575","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}