{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T21:15:52Z","timestamp":1774473352953,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Zhuhai Industry\u2013University\u2013Research Cooperation Project","award":["2320004002605"],"award-info":[{"award-number":["2320004002605"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3672013","type":"journal-article","created":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T19:59:26Z","timestamp":1773086366000},"page":"43136-43148","source":"Crossref","is-referenced-by-count":0,"title":["Dual-Graph Multimodal Named Entity Recognition With Optimal Transport Fusion"],"prefix":"10.1109","volume":"14","author":[{"given":"Shihong","family":"Wu","sequence":"first","affiliation":[{"name":"Artificial Intelligence Division, YGSOFT Inc., Zhuhai, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4444-3257","authenticated-orcid":false,"given":"Yupeng","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4145-5389","authenticated-orcid":false,"given":"Ming","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119195"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1078"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.306"},{"key":"ref4","article-title":"Good visual guidance makes a better extractor: Hierarchical visual prefix for multimodal entity and relation extraction","author":"Chen","year":"2022","journal-title":"arXiv:2205.03521"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11962"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17687"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2022.3221017"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.232"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124867"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103405"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2025.130982"},{"key":"ref12","first-page":"2292","article-title":"Sinkhorn distances: Lightspeed computation of optimal transport","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"26","author":"Cuturi"},{"key":"ref13","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","author":"Lafferty","year":"2001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.422"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02546-5"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.168"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498475"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25971"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxae030"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-023-02037-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00129-1_24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.76"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111940"},{"issue":"20","key":"ref25","first-page":"10","article-title":"Graph attention networks","volume":"1050","author":"Velickovic","year":"2017","journal-title":"stat"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2025.3559533"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/977035.977059"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1185"},{"key":"ref32","article-title":"Bidirectional LSTM-CRF models for sequence tagging","author":"Huang","year":"2015","journal-title":"arXiv:1508.01991"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1101"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61377-8_28"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11424393.pdf?arnumber=11424393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T19:58:04Z","timestamp":1774468684000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11424393\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3672013","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}