{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:50:20Z","timestamp":1740102620508,"version":"3.37.3"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T00:00:00Z","timestamp":1698624000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T00:00:00Z","timestamp":1698624000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,30]]},"DOI":"10.1109\/besc59560.2023.10386310","type":"proceedings-article","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T18:21:56Z","timestamp":1705515716000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["A Dataset for Entity Recognition of COVID-19 Public Opinion in Social Media"],"prefix":"10.1109","author":[{"given":"Linlin","family":"Hou","sequence":"first","affiliation":[{"name":"Zhejiang Lab,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingling","family":"Li","sequence":"additional","affiliation":[{"name":"Zhengzhou University of Aeronautics,Zhengzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dandan","family":"Ren","sequence":"additional","affiliation":[{"name":"Hubei University of Technology,Wuhan,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Southwest Petroleum University,Chengdu,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Yu","sequence":"additional","affiliation":[{"name":"Zhejiang Lab,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Southern Queensland,Toowoomaba,Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-97610-1_27"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3133103"},{"issue":"10","key":"ref3","doi-asserted-by":"crossref","first-page":"e22910","DOI":"10.2196\/22910","article-title":"Online health information seeking using\u201d#covid-19 patient seeking help\" on weibo in wuhan, china: Descriptive study","volume":"22","author":"Zhao","year":"2020","journal-title":"J Med Internet Res"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06794-5_22"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.173"},{"key":"ref6","first-page":"108","article-title":"Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for named entity recognition and tweet binary classification","volume-title":"Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task","author":"Ruas"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-91100-3_14"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107621"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/fi13020029"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/1222692"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CECIT53797.2021.00050"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/info13030137"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2980007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378052"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/AIEA53260.2021.00054"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/3967171"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106779"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3210119"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/app112211017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-021-04236-y"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.134"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104066"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM49941.2020.9313126"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5808\/gi.21018"},{"key":"ref25","article-title":"Improving clinical document understanding on COVID-19 research with spark NLP","volume-title":"Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, SDU@AAAI 2021, Virtual Event, February 9, 2021","volume":"2831","author":"Kocaman"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119195"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p19-1236"},{"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 (WNUT)","author":"Strauss"},{"key":"ref29","first-page":"7199","article-title":"Annotating the tweebank corpus on named entity recognition and building nlp models for social media analysis","volume-title":"Proceedings of the Thirteenth Language Resources and Evaluation Conference","author":"Jiang"},{"article-title":"Mets-cov: A dataset of medical entity and targeted sentiment on covid-19 related tweets","year":"2022","author":"Zhou","key":"ref30"},{"key":"ref31","first-page":"5998","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19\u20131423"},{"key":"ref33","article-title":"Bidirectional LSTM-CRF models for sequence tagging","volume":"abs\/1508.01991","author":"Huang","year":"2015","journal-title":"CoRR"},{"article-title":"Roberta: A robustly optimized bert pretraining approach","year":"2019","author":"Liu","key":"ref34"},{"article-title":"Portuguese named entity recognition using bert-crf","year":"2019","author":"Souza","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI48845.2019.8965823"}],"event":{"name":"2023 10th International Conference on Behavioural and Social Computing (BESC)","start":{"date-parts":[[2023,10,30]]},"location":"Larnaca, Cyprus","end":{"date-parts":[[2023,11,1]]}},"container-title":["2023 10th International Conference on Behavioural and Social Computing (BESC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385235\/10386086\/10386310.pdf?arnumber=10386310","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:12:07Z","timestamp":1705687927000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386310\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,30]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/besc59560.2023.10386310","relation":{},"subject":[],"published":{"date-parts":[[2023,10,30]]}}}