[1] |
Li Q,Peng H,Li J,et al.A survey on text classification:From traditional to deep learning[J].ACM Transactions on Intelligent Systems and Technology,2022,13(2):1-41.
|
[2] |
Gopal S, Yang Y.Multilabel classification with meta-level features[C]∥Proc of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval,2010:315-322.
|
[3] |
Ameer I, Sidorov G,Gomez-Adorno H,et al.Multi label emotion classification on code-mixed text:Data and methods[J].IEEE Access,2022,10:8779-8789.
|
[4] |
Song D,Vold A,Madan K,et al.Multi-label legal document classification:A deep learning-based approach with label- attention and domain-specific pre-training[J].Information Systems,2022,106:101718.
|
[5] |
李锦烨,黄瑞章,秦永彬,等.基于反绎学习的裁判文书量刑情节识别[J].计算机应用,2022,42(6):1802-1807.
|
|
Li Jin-ye,Huang Rui-zhang,Qin Yong-bin,et al.Recognition of sentencing circumstances in adjudication documents based on abductive learning[J].Journal of Computer Applications,2022,42(6):1802-1807.
|
[6] |
Tsoumakas G, Katakis I, Vlahavas I. Mining multi-label data[M]∥Data Mining and Knowledge Discovery. New York:Springer US,2010.
|
[7] |
Kim Y.Convolutional neural networks for sentence classification[C]∥Proc of the 2014 Conference on Empirical Methods in Natural Language Processing,2017: 1746-1751.
|
[8] |
Liu J,Chang W C,Wu Y,et al.Deep learning for extreme multi label text classification[C]∥Proc of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,2017:115-124.
|
[9] |
Chen G B,Ye D H,Xing Z C,et al.Ensemble application of convolutional and recurrent neural networks for multi-label text categorization[C]∥Proc of 2017 International Joint Conference on Neural Networks,2017:2377-2383.
|
[10] |
You R H,Zhang Z H,Wang Z Y,et al.AttentionXML:Label tree-based attention-aware deep model for high-performance extreme multi-label text classification[C]∥Proc of the 33rd International Conference on Neural Information Processing Systems,2019:5820-5830.
|
[11] |
Wang G,Li C,Wang W,et al.Joint embedding of words and labels for text classification[J].arXiv:1805.04174,2018.
|
[12] |
Xiao L, Huang X,Chen B,et al.Label-specific document representation for multi-label text classification[C]∥Proc of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing,2019:466-475.
|
[13] |
肖琳,陈博理,黄鑫,等.基于标签语义注意力的多标签文本分类[J].软件学报,2020,31(4):1079-1089.
|
|
Xiao Lin,Chen Bo-li,Huang Xin,et al.Multi-label text classification method based on label semantic information[J]. Journal of Software,2020,31(4):1079-1089.
|
[14] |
Zhang X M,Zhang Q W,Yan Z,et al.Enhancing label correlation feedback in multi-label text classification via multi-task learning[J]. arXiv:2016.03103,2021.
|
[15] |
Devlin J,Chang M W,Lee K,et al.BERT:Pre-training of deep bidirectional transformers for language understanding[J].arXiv:1810.04805,2018.
|
[16] |
Nam J, Mencía E L,Kim H J,et al.Maximizing subset accuracy with recurrent neural networks in multi-label classification[C]∥Proc of the 31st International Conference on Neural Information Processing Systems,2017:5419-5429.
|
[17] |
Yang P,Sun X,Li W,et al.SGM:Sequence generation model for multi-label classification[J].arXiv:1806.04822,2018.
|
[18] |
Shimura K,Li J,Fukumoto F.HFT-CNN:Learning hierarchical category structure for multi-label short text categorization[C]∥Proc of the 2018 Conference on Empirical Methods in Natural Language Processing,2018:811-816.
|
[19] |
Ma Y L,Liu X F,Zhao L J,et al.Hybrid embedding-based text representation for hierarchical multi-label text classification[J].Expert Systems with Applications,2022,187:115905.
|
[20] |
Huang X,Chen B L,Xiao L,et al.Label-aware document representation via hybrid attention for extreme multi-label text classification[J].Neural Processing Letters,2022,54(4):3601-3617.
|
[21] |
Chen Z M,Wei X S,Wang P,et al.Multi-label image recognition with graph convolutional networks[C]∥Proc of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition,2019:5177-5186.
|
[22] |
Pal A, Selvakumar M,Sankarasubbu M.Multi-label text classification using attention-based graph neural network[J].arXiv:2003.11644,2020.
|
[23] |
Ma Q,Yuan C,Zhou W,et al.Label-specific dual graph neural network for multi-label text classification[C]∥Proc of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Confe- rence on Natural Language Processing,2021:3855-3864.
|
[24] |
Gao J X,Chen J J,Fu H Z,et al.Dynamic mixup for multi-label long-tailed food ingredient recognition[J].IEEE Transactions on Multimedia,2023,25:4764-4773.
|
[25] |
Joulin A, Grave E, Bojanowski P, et al.Bag of tricks for efficient text classification[C]∥Proc of the 15th Conference of the European Chapter of the Association for Computational Linguistics,2017:427-431.
|
[26] |
Sun C,Qiu X,Xu Y,et al.How to fine-tune BERT for text classification?[C]∥Proc of the 18th China National Conference on Chinese Computational Linguistics,2019:194-206.
|