Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents

Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents Mohammad Kachuee author Hao Yuan author Young-Bum Kim author Sungjin Lee author 2021-06 text Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Kristina Toutanova editor Anna Rumshisky editor Luke Zettlemoyer editor Dilek Hakkani-Tur editor Iz Beltagy editor Steven Bethard editor Ryan Cotterell editor Tanmoy Chakraborty editor Yichao Zhou editor Association for Computational Linguistics Online conference publication kachuee-etal-2021-self 10.18653/v1/2021.naacl-main.319 https://aclanthology.org/2021.naacl-main.319/ 2021-06 4053 4064