Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding

Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding Suyoung Kim author Jiyeon Hwang author Ho-Young Jung author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) Kevin Duh editor Helena Gomez editor Steven Bethard editor Association for Computational Linguistics Mexico City, Mexico conference publication kim-etal-2024-contrastive 10.18653/v1/2024.naacl-long.318 https://aclanthology.org/2024.naacl-long.318/ 2024-06 5698 5711