Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering
Giorgio Barnabò, Antonio Uva, Sandro Pollastrini, Chiara Rubagotti, Davide Bernardi
- Anthology ID:
- 2023.findings-ijcnlp.36
- Volume:
- Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
- Month:
- November
- Year:
- 2023
- Address:
- Nusa Dua, Bali
- Editors:
- Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 412–430
- Language:
- URL:
- https://aclanthology.org/2023.findings-ijcnlp.36
- DOI:
- 10.18653/v1/2023.findings-ijcnlp.36
- Cite (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.
- Cite (Informal):
- Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering (Barnabò et al., Findings 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/2023.findings-ijcnlp.36.pdf