{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:32Z","timestamp":1750220492531,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T00:00:00Z","timestamp":1634256000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006198"],"award-info":[{"award-number":["62006198"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,15]]},"DOI":"10.1145\/3497623.3497650","type":"proceedings-article","created":{"date-parts":[[2022,2,5]],"date-time":"2022-02-05T00:30:14Z","timestamp":1644021014000},"page":"169-174","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-label Text Classification with Label Correction under Noise"],"prefix":"10.1145","author":[{"given":"Tingting","family":"Yu","sequence":"first","affiliation":[{"name":"College of Computer and Information Science, Southwest University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Southwest University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaomeng","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Southwest University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,2,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/2892753.2892763"},{"volume-title":"Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. In 2017 international joint conference on neural networks (IJCNN)","author":"Chen Guibin","key":"e_1_3_2_1_2_1","unstructured":"Guibin Chen , Deheng Ye , Zhenchang Xing , Jieshan Chen , and Erik Cambria . 2017. Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. In 2017 international joint conference on neural networks (IJCNN) . IEEE , 2377\u20132383. Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, and Erik Cambria. 2017. Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. In 2017 international joint conference on neural networks (IJCNN). IEEE, 2377\u20132383."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/1059467.1059472"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298483.3298518"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.09.081"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835503"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/3327757.3327944"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00524"},{"key":"e_1_3_2_1_9_1","unstructured":"Armand Joulin Edouard Grave Piotr Bojanowski Matthijs Douze H\u00e9rve J\u00e9gou and Tomas Mikolov. 2016. Fasttext. zip: Compressing text classification models. arXiv preprint arXiv:1612.03651(2016).  Armand Joulin Edouard Grave Piotr Bojanowski Matthijs Douze H\u00e9rve J\u00e9gou and Tomas Mikolov. 2016. Fasttext. zip: Compressing text classification models. arXiv preprint arXiv:1612.03651(2016)."},{"key":"e_1_3_2_1_10_1","volume-title":"Convolutional Neural Networks for Sentence Classification. Eprint Arxiv","author":"Kim Y.","year":"2014","unstructured":"Y. Kim . 2014. Convolutional Neural Networks for Sentence Classification. Eprint Arxiv ( 2014 ). Y. Kim. 2014. Convolutional Neural Networks for Sentence Classification. Eprint Arxiv (2014)."},{"key":"e_1_3_2_1_11_1","volume-title":"CVPR Workshops. 33\u201337","author":"K\u00f6hler M","year":"2019","unstructured":"Jan\u00a0 M K\u00f6hler , Maximilian Autenrieth , and William\u00a0 H Beluch . 2019 . Uncertainty Based Detection and Relabeling of Noisy Image Labels .. In CVPR Workshops. 33\u201337 . Jan\u00a0M K\u00f6hler, Maximilian Autenrieth, and William\u00a0H Beluch. 2019. Uncertainty Based Detection and Relabeling of Noisy Image Labels.. In CVPR Workshops. 33\u201337."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00571"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_2_1_14_1","volume-title":"Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio.","author":"Lin Zhouhan","year":"2017","unstructured":"Zhouhan Lin , Minwei Feng , Cicero Nogueira\u00a0dos Santos , Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 . A structured self-attentive sentence embedding. arXiv preprint arXiv:1703.03130(2017). Zhouhan Lin, Minwei Feng, Cicero Nogueira\u00a0dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017. A structured self-attentive sentence embedding. arXiv preprint arXiv:1703.03130(2017)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/3060832.3061023"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00259"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454459"},{"key":"e_1_3_2_1_19_1","unstructured":"Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir Bourdev and Rob Fergus. 2014. Training convolutional networks with noisy labels. arXiv preprint arXiv:1406.2080(2014).  Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir Bourdev and Rob Fergus. 2014. Training convolutional networks with noisy labels. arXiv preprint arXiv:1406.2080(2014)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-62419-4_30"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1167"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01150"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1044"},{"key":"e_1_3_2_1_24_1","unstructured":"Pengcheng Yang Xu Sun Wei Li Shuming Ma Wei Wu and Houfeng Wang. 2018. SGM: sequence generation model for multi-label classification. arXiv preprint arXiv:1806.04822(2018).  Pengcheng Yang Xu Sun Wei Li Shuming Ma Wei Wu and Houfeng Wang. 2018. SGM: sequence generation model for multi-label classification. arXiv preprint arXiv:1806.04822(2018)."},{"volume-title":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.","author":"Yang Z.","key":"e_1_3_2_1_25_1","unstructured":"Z. Yang , D. Yang , C. Dyer , X. He , and E. Hovy . 2016. Hierarchical Attention Networks for Document Classification . In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Z. Yang, D. Yang, C. Dyer, X. He, and E. Hovy. 2016. Hierarchical Attention Networks for Document Classification. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_1_27_1","volume-title":"A review on multi-label learning algorithms","author":"Zhang Min-Ling","year":"2013","unstructured":"Min-Ling Zhang and Zhi-Hua Zhou . 2013. A review on multi-label learning algorithms . IEEE transactions on knowledge and data engineering 26, 8( 2013 ), 1819\u20131837. Min-Ling Zhang and Zhi-Hua Zhou. 2013. A review on multi-label learning algorithms. IEEE transactions on knowledge and data engineering 26, 8(2013), 1819\u20131837."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3206025.3206030"}],"event":{"name":"ICCPR '21: 2021 10th International Conference on Computing and Pattern Recognition","acronym":"ICCPR '21","location":"Shanghai China"},"container-title":["2021 10th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3497623.3497650","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3497623.3497650","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:24Z","timestamp":1750193364000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3497623.3497650"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,15]]},"references-count":28,"alternative-id":["10.1145\/3497623.3497650","10.1145\/3497623"],"URL":"https:\/\/doi.org\/10.1145\/3497623.3497650","relation":{},"subject":[],"published":{"date-parts":[[2021,10,15]]},"assertion":[{"value":"2022-02-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}