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%0 Conference Proceedings
%T Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering
%A Barnabò, Giorgio
%A Uva, Antonio
%A Pollastrini, Sandro
%A Rubagotti, Chiara
%A Bernardi, Davide
%Y Park, Jong C.
%Y Arase, Yuki
%Y Hu, Baotian
%Y Lu, Wei
%Y Wijaya, Derry
%Y Purwarianti, Ayu
%Y Krisnadhi, Adila Alfa
%S Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
%D 2023
%8 November
%I Association for Computational Linguistics
%C Nusa Dua, Bali
%F barnabo-etal-2023-supervised
%R 10.18653/v1/2023.findings-ijcnlp.36
%U https://aclanthology.org/2023.findings-ijcnlp.36
%U https://doi.org/10.18653/v1/2023.findings-ijcnlp.36
%P 412-430

Markdown (Informal)

[Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering](https://aclanthology.org/2023.findings-ijcnlp.36) (Barnabò et al., Findings 2023)

• Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering (Barnabò et al., Findings 2023)

ACL

• Giorgio Barnabò, Antonio Uva, Sandro Pollastrini, Chiara Rubagotti, and Davide Bernardi. 2023. Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering. In Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), pages 412–430, Nusa Dua, Bali. Association for Computational Linguistics.