Su, X., et al. “Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification”. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022, pp. 672–79, https://doi.org/10.18653/V1/2022.ACL-SHORT.75.
APA
Su, X., Wang, R., & Dai, X. (2022). Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 672–679. https://doi.org/10.18653/V1/2022.ACL-SHORT.75
Chicago
Su, X., R. Wang, and X. Dai. 2022. “Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification”. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 672–79. https://doi.org/10.18653/V1/2022.ACL-SHORT.75.
Harvard
Su, X., Wang, R. and Dai, X. (2022) “Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification”, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics, pp. 672–679. Available at: https://doi.org/10.18653/V1/2022.ACL-SHORT.75.
Vancouver
1. Su X, Wang R, Dai X (2022) Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics, pp 672–679
BibTeX
@inproceedings{Su_2022, title={Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification}, url={http://dx.doi.org/10.18653/V1/2022.ACL-SHORT.75}, DOI={10.18653/v1/2022.acl-short.75}, booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)}, publisher={Association for Computational Linguistics}, author={Su, Xi’ao and Wang, Ran and Dai, Xinyu}, year={2022}, pages={672–679} }