{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T14:42:51Z","timestamp":1773326571973,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["62102187"],"award-info":[{"award-number":["62102187"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20210639"],"award-info":[{"award-number":["BK20210639"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2021YFE0104400"],"award-info":[{"award-number":["2021YFE0104400"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tkde.2023.3286097","type":"journal-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T17:24:48Z","timestamp":1686763488000},"page":"167-183","source":"Crossref","is-referenced-by-count":4,"title":["FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0542-1827","authenticated-orcid":false,"given":"Huan","family":"Rong","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence (School of Future Technology), Nanjing University of Information Science &amp; Technology, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6037-7669","authenticated-orcid":false,"given":"Gongchi","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence (School of Future Technology), Nanjing University of Information Science &amp; Technology, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2320-1692","authenticated-orcid":false,"given":"Tinghuai","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Computer and Software, Nanjing University of Information Science &amp; Technology, Nanjing, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4960-174X","authenticated-orcid":false,"given":"Victor S.","family":"Sheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4029-7051","authenticated-orcid":false,"given":"Elisa","family":"Bertino","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Cyber Center, Purdue University, West Lafayette, IN, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2860992"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019837"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6406"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3003570"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03187-y"},{"key":"ref6","first-page":"5541","article-title":"A policy gradient algorithm for learning to learn in multiagent reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kim"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.750"},{"key":"ref8","article-title":"The factual inconsistency problem in abstractive text summarization: A survey","author":"Huang","year":"2021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2993272"},{"key":"ref10","first-page":"1430","article-title":"Ensure the correctness of the summary: Incorporate entailment knowledge into abstractive sentence summarization","volume-title":"Proc. 27th Int. Conf. Comput. Linguistics","author":"Li"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.457"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1081"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11912"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102478"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.458"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.104"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.299"},{"key":"ref18","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics Hum. Lang. Technol.","author":"Devlin"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1250"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.fever-1.5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.506"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.749"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.256"},{"key":"ref25","first-page":"1","article-title":"Autoregressive entity retrieval","volume-title":"Proc. Int. Conf. Learn. Representations","author":"De Cao"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"ref27","first-page":"6000","article-title":"Attention is all you need","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/612"},{"key":"ref29","article-title":"RoBERTa: A robustly optimized bert pretraining approach","author":"Liu","year":"2019"},{"key":"ref30","article-title":"ELECTRA: Pre-training text encoders as discriminators rather than generators","author":"Clark","year":"2020"},{"issue":"8","key":"ref31","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1285"},{"issue":"1","key":"ref33","first-page":"5485","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.136"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"ref36","first-page":"13 063","article-title":"Unified language model pre-training for natural language understanding and generation","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Dong"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1074"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1152"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.120"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00107"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-3348"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1053"},{"key":"ref43","first-page":"1","article-title":"BERTscore: Evaluating text generation with BERT","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang"},{"key":"ref44","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Loshchilov"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00313"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10348031\/10151941.pdf?arnumber=10151941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T17:45:47Z","timestamp":1715017547000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10151941\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":45,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2023.3286097","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}