{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T08:57:06Z","timestamp":1772355426780,"version":"3.50.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":["61772103"],"award-info":[{"award-number":["61772103"]}],"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":["61572102"],"award-info":[{"award-number":["61572102"]}],"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":["61702080"],"award-info":[{"award-number":["61702080"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005047","name":"Natural Science Foundation of Liaoning Province, China","doi-asserted-by":"publisher","award":["20180551078"],"award-info":[{"award-number":["20180551078"]}],"id":[{"id":"10.13039\/501100005047","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3099021","type":"journal-article","created":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T20:26:23Z","timestamp":1626899183000},"page":"105002-105011","source":"Crossref","is-referenced-by-count":14,"title":["Biomedical Text Similarity Evaluation Using Attention Mechanism and Siamese Neural Network"],"prefix":"10.1109","volume":"9","author":[{"given":"Zhengguang","family":"Li","sequence":"first","affiliation":[{"name":"Research Center for Language Intelligence, Dalian University of Foreign Languages, Liaoning, Dalian, China"}]},{"given":"Heng","family":"Chen","sequence":"additional","affiliation":[{"name":"Research Center for Language Intelligence, Dalian University of Foreign Languages, Liaoning, Dalian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4875-0017","authenticated-orcid":false,"given":"Huayue","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science, China West Normal University, Nanchong, China"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/database\/baz064"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IALP.2018.8629212"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.4236\/jilsa.2018.104008"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-015-9332-5"},{"key":"ref10","article-title":"Improving multilingual semantic textual similarity with shared sentence encoder for low-resource languages","author":"tang","year":"2018","journal-title":"arXiv 1810 08740"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-1617"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/613"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16145-3_1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1021"},{"key":"ref15","article-title":"Attention is all you need for Chinese word segmentation","author":"duan","year":"2019","journal-title":"arXiv 1910 14537"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl203"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/568"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2985685"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3030792"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.12.007"},{"key":"ref27","article-title":"An attentive survey of attention models","author":"chaudhari","year":"2019","journal-title":"arXiv 1904 02874"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107080"},{"key":"ref6","first-page":"1179","article-title":"Inter-weighted alignment network for sentence pair modeling","author":"shen","year":"2018","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0193919"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2025"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-019-2789-2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806475"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/9543490"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-05527-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0065814"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2021\/6660115","article-title":"Enhanced success history adaptive DE for parameter optimization of photovoltaic models","volume":"2021","author":"song","year":"2021","journal-title":"Complexity"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/app11125385"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114629"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3025796"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2020.113661"},{"key":"ref26","first-page":"10","article-title":"Learning orthographic features in bi-directional LSTM for biomedical named entity recognition","author":"limsopatham","year":"2016","journal-title":"Proc 5th Workshop Building Evaluating Resour Biomed Text Mining (BioTxtM)"},{"key":"ref25","first-page":"2786","article-title":"Siamese recurrent architectures for learning sentence similarity","volume":"16","author":"mueller","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09492136.pdf?arnumber=9492136","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T19:53:51Z","timestamp":1725479631000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9492136\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3099021","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}