{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T15:15:33Z","timestamp":1785856533037,"version":"3.56.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFB1405702"],"award-info":[{"award-number":["2019YFB1405702"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1109\/tnnls.2021.3104971","type":"journal-article","created":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T19:49:46Z","timestamp":1629920986000},"page":"1122-1131","source":"Crossref","is-referenced-by-count":38,"title":["Dynamic Modeling Cross-Modal Interactions in Two-Phase Prediction for Entity-Relation Extraction"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4503-8259","authenticated-orcid":false,"given":"Shan","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Design, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5002-3724","authenticated-orcid":false,"given":"Minghao","family":"Hu","sequence":"additional","affiliation":[{"name":"PLA Academy of Military Science, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5726-833X","authenticated-orcid":false,"given":"Zhiping","family":"Cai","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8753-3878","authenticated-orcid":false,"given":"Fang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Design, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1075\/li.30.1.03nad"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17706"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103290"},{"key":"ref5","first-page":"1","article-title":"A review of relation extraction","volume":"2","author":"Bach","year":"2007","journal-title":"Literature Rev. Lang. Statist. II"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1105"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1181"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1307"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1129"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1123"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1085"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00644"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/558"},{"key":"ref15","article-title":"Conditional random fields: Probabilistic models for segmenting and labeling sequence data","volume-title":"Proc. 18th","author":"Lafferty"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/1699510.1699527"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1113"},{"key":"ref18","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1216"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1422"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2793863"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929068"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1609-9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref27","article-title":"Layer normalization","volume-title":"arXiv:1607.06450","author":"Ba","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11962"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1185"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.306"},{"key":"ref31","first-page":"1255","article-title":"Integrated recognition, localization and detection using convolutional networks","volume-title":"Proc. ECML Conf.","author":"Rolet"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20205-7_3"},{"key":"ref34","first-page":"1","article-title":"A linear programming formulation for global inference in natural language tasks","volume-title":"Proc. 8th Conf. Comput. Natural Lang. Learn. (CoNLL HLT-NAACL)","author":"Roth"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2012.04.008"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.02.031"},{"key":"ref37","first-page":"2537","article-title":"Table filling multi-task recurrent neural network for joint entity and relation extraction","volume-title":"Proc. COLING","author":"Gupta"},{"key":"ref38","article-title":"Span-based joint entity and relation extraction with transformer pre-training","volume-title":"arXiv:1909.07755","author":"Eberts","year":"2019"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/d14-1200"},{"key":"ref40","article-title":"Neural metric learning for fast end-to-end relation extraction","volume-title":"arXiv:1905.07458","author":"Tran","year":"2019"},{"key":"ref41","first-page":"2838","article-title":"Joint models for extracting adverse drug events from biomedical text","volume-title":"Proc. IJCAI","volume":"2016","author":"Li"},{"key":"ref42","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"arXiv:1810.04805","author":"Devlin","year":"2018"},{"key":"ref43","article-title":"Bidirectional LSTM-CRF models for sequence tagging","volume-title":"arXiv:1508.01991","author":"Huang","year":"2015"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10056374\/09521975.pdf?arnumber=9521975","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:35:59Z","timestamp":1705016159000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9521975\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":43,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3104971","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3]]}}}