A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5847-4_17
Reference30 articles.
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3. Luo, Y., Huang, Z., Wong, L.P., Zhan, C., Wang, F.L., Hao, T.: An early prediction and label smoothing alignment strategy for user intent classification of medical queries. In: International Conference on Neural Computing for Advanced Applications, pp. 115–128 (2022)
4. Liu, Y., Hao, T., Liu, H., Mu, Y., Weng, H., Wang, F.L.: OdeBERT: one-stage deep-supervised early-exiting BERT for fast inference in user intent classification. ACM Trans. Asian Low-Resource Lang. Inf. Process. 22(5), 1–18 (2023)
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