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Current text classification methods typically encode the text merely into embedding before a naive or complicated classifier, which ignores the suggestive information contained in the label text.
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Y. Xiong, Y. Feng, H. Wu, H. Kamigaito, and M. Okumura, “Fusing label embedding into BERT: An efficient improvement for text classification,” in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 . Online: Association for Computational Linguistics, Aug. 2021, pp. 1743–1750. [Online]. Available: https://aclanthology.org/2021.findings-acl.152
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J. Shen, W. Qiu, Y. Meng, J. Shang, X. Ren, and J. Han, “TaxoClass: Hierarchical multi-label text classification using only class names,” in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Online: Association for Computational Linguistics, Jun. 2021, pp. 4239–4249. [Online]. Available: https://aclanthology.org/2021.naacl-main.335
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L. Xiao, X. Huang, B. Chen, and L. Jing, “Label-specific document representation for multi-label text classification,” in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Hong Kong, China: Association for Computational Linguistics, Nov. 2019, pp. 466–475. [Online]. Available: https://aclanthology.org/D19-1044
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Y. Meng, Y. Zhang, J. Huang, C. Xiong, H. Ji, C. Zhang, and J. Han, “Text classification using label names only: A language model self-training approach,” in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Online: Association for Computational Linguistics, Nov. 2020, pp. 9006–9017. [Online]. Available: https://aclanthology.org/2020.emnlp-main.724
2020
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K. Halder, A. Akbik, J. Krapac, and R. Vollgraf, “Task-aware representation of sentences for generic text classification,” in Proceedings of the 28th International Conference on Computational Linguistics . Barcelona, Spain (Online): International Committee on Computational Linguistics, Dec. 2020, pp. 3202–3213. [Online]. Available: https://aclanthology.org/2020.coling-main.285
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2022
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