A Study on Hierarchical Text Classification as a Seq2seq Task
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56063-7_20
Reference21 articles.
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2. Cao, P., Chen, Y., Liu, K., Zhao, J., Liu, S., Chong, W.: HyperCore: hyperbolic and co-graph representation for automatic ICD coding. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 3105–3114. Association for Computational Linguistics (2020)
3. Chen, H., Ma, Q., Lin, Z., Yan, J.: Hierarchy-aware label semantics matching network for hierarchical text classification. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing, ACL/IJCNLP, pp. 4370–4379. Association for Computational Linguistics (2021)
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5. Deng, Z., Peng, H., He, D., Li, J., Yu, P.: HTCInfoMax: a global model for hierarchical text classification via information maximization. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 3259–3265. Association for Computational Linguistics (2021)
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