{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T17:12:25Z","timestamp":1769793145300,"version":"3.49.0"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Science Research Project of Hebei Education Department","award":["SQ2024207"],"award-info":[{"award-number":["SQ2024207"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2025.3650134","type":"journal-article","created":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T18:38:09Z","timestamp":1767292689000},"page":"10170-10185","source":"Crossref","is-referenced-by-count":0,"title":["A Multi-Label Text Categorization Algorithm Incorporating Label-Guided Attention Mechanisms"],"prefix":"10.1109","volume":"14","author":[{"given":"Shaocong","family":"Guo","sequence":"first","affiliation":[{"name":"College of Business and Economics, Hebei Vocational University of Industry and Technology, Shijiazhuang, Hebei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Hao","sequence":"additional","affiliation":[{"name":"College of Business and Economics, Hebei Vocational University of Industry and Technology, Shijiazhuang, Hebei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"43","article-title":"The reality and path of science and education integration in engineering vocational colleges and universities","volume":"19","author":"Yang","year":"2024","journal-title":"Educ. Vocation"},{"key":"ref2","first-page":"2529","article-title":"Review on multi-label classification","volume":"11","author":"Li","year":"2023","journal-title":"J. Frontiers of Comput. Sci. Technol."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5256-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2608339"},{"issue":"1","key":"ref5","first-page":"1","article-title":"A scikit-based Python environment for performing multi-label classification","volume":"18","author":"Szyma\u0144ski","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143867"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-naacl.93"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06794-5_36"},{"key":"ref9","article-title":"Deep learning for multi-label learning: A comprehensive survey","author":"Tarekegn","year":"2024","journal-title":"arXiv:2401.16549"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-09823-4_34"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-017-7031-7"},{"key":"ref12","article-title":"Imbalanced multi-label classification for business-related text with moderately large label spaces","author":"Arslan","year":"2023","journal-title":"arXiv:2306.07046"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s18010018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12556"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3073483"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014602"},{"key":"ref18","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","author":"Yang","year":"2019","journal-title":"arXiv:1906.08237"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICNLP55136.2022.00078"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17529"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-023-05671-1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.402"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080834"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11321279.pdf?arnumber=11321279","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T06:00:58Z","timestamp":1769493658000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11321279\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3650134","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}