{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T10:49:54Z","timestamp":1768819794248,"version":"3.49.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"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","award":["62272048"],"award-info":[{"award-number":["62272048"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFB1406302"],"award-info":[{"award-number":["2019YFB1406302"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tcss.2023.3298252","type":"journal-article","created":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T17:41:02Z","timestamp":1691084462000},"page":"2002-2013","source":"Crossref","is-referenced-by-count":9,"title":["Multiple Knowledge-Enhanced Meteorological Social Briefing Generation"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3561-3627","authenticated-orcid":false,"given":"Kaize","family":"Shi","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8901-1472","authenticated-orcid":false,"given":"Xueping","family":"Peng","sequence":"additional","affiliation":[{"name":"Australian Artificial Intelligence Institute, University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8065-8499","authenticated-orcid":false,"given":"Hao","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems and the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academic of Science, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7695-1633","authenticated-orcid":false,"given":"Yifan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0576-7572","authenticated-orcid":false,"given":"Zhendong","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/science.adf2983"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06185-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2022.3157142"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2022.3213794"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330939"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02178-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2021.3110819"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-023-06010-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2018.2861224"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2007.41"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2980007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2022.3211552"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105379"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102564"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-018-06783-6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186063"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.08.013"},{"key":"ref18","first-page":"4231","article-title":"AMR-TST: Abstract meaning representation-based text style transfer","volume-title":"Proc. Findings Assoc. Comput. Linguistics, ACL","author":"Shi"},{"key":"ref19","first-page":"1223","article-title":"MeanSum: A neural model for unsupervised multi-document abstractive summarization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chu"},{"key":"ref20","article-title":"Unsupervised opinion summarization as copycat-review generation","author":"Bra\u017einskas","year":"2019","journal-title":"arXiv:1911.02247"},{"key":"ref21","first-page":"1934","article-title":"Unsupervised opinion summarization with noising and denoising","volume-title":"Proc. 58th Annu. Meeting Assoc. for Comput. Linguistics","author":"Amplayo"},{"key":"ref22","first-page":"351","article-title":"Entity-aware abstractive multi-document summarization","volume-title":"Proc. Findings Assoc. Comput. Linguistics, ACL-IJCNLP","author":"Zhou"},{"key":"ref23","first-page":"6232","article-title":"Leveraging graph to improve abstractive multi-document summarization","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics","author":"Li"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2922957"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463111"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6333"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.356"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3464299"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17481"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"ref31","article-title":"Categorical reparameterization with Gumbel-Softmax","author":"Jang","year":"2016","journal-title":"arXiv:1611.01144"},{"key":"ref32","first-page":"1","article-title":"The concrete distribution: A continuous relaxation of discrete random variables","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Maddison"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref34","first-page":"3915","article-title":"SGM: Sequence generation model for multi-label classification","volume-title":"Proc. 27th Int. Conf. Comput. Linguistics","author":"Yang"},{"key":"ref35","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume-title":"Proc. 14th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"key":"ref36","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"Collobert","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073465"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3146633"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.374"},{"key":"ref41","first-page":"1746","article-title":"Convolutional neural networks for sentence classification","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. (EMNLP)","author":"Kim"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-1003"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570650\/10488768\/10206439.pdf?arnumber=10206439","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T19:06:45Z","timestamp":1733252805000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10206439\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":42,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2023.3298252","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}