{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T07:33:15Z","timestamp":1775719995752,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10651292","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-7","source":"Crossref","is-referenced-by-count":2,"title":["Local-Fusion Attention and Semantic-Augmentation Attention for Named Entity Recognition"],"prefix":"10.1109","author":[{"given":"Zhouyang","family":"Liu","sequence":"first","affiliation":[{"name":"Hebei University,Department of Cyber Security and Computer Science,Hebei,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Hebei University,Department of Cyber Security and Computer Science,Hebei,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Song","sequence":"additional","affiliation":[{"name":"Hebei University,Department of Cyber Security and Computer Science,Hebei,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huiting","family":"Yuan","sequence":"additional","affiliation":[{"name":"Hebei University,Department of Cyber Security and Computer Science,Hebei,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5121\/ijnlc.2012.1402"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-52920-2_18"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19\u20131423"},{"key":"ref5","article-title":"Roberta: A robustly optimized BERT pretraining approach","author":"Liu","year":"2019","journal-title":"CoRR"},{"key":"ref6","first-page":"5754","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS","author":"Yang"},{"key":"ref7","article-title":"FLERT: document-level features for named entity recognition","author":"Schweter","year":"2020","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.142"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.140"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.698"},{"key":"ref11","first-page":"5244","article-title":"Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting","volume-title":"Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS","author":"Li"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3230943"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1406.1078"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1524"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11962"},{"key":"ref19","article-title":"A global context mechanism for sequence labeling","author":"Xu","year":"2023","journal-title":"CoRR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2039"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1096"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.378"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1276"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.383"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.32473\/flairs.v34i1.128538"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119195"},{"key":"ref28","first-page":"138","article-title":"Results of the WNUT16 named entity recognition shared task","volume-title":"Proceedings of the 2nd Workshop on Noisy User-generated Text, NUT@COLING","author":"Strauss"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-4418"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1406.3269"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10651292.pdf?arnumber=10651292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T07:39:19Z","timestamp":1725953959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10651292\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10651292","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}