Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”?

Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”? Tong Liu author Iza Škrjanec author Vera Demberg author 2024-08 text Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Lun-Wei Ku editor Andre Martins editor Vivek Srikumar editor Association for Computational Linguistics Bangkok, Thailand conference publication liu-etal-2024-temperature 10.18653/v1/2024.acl-long.519 https://aclanthology.org/2024.acl-long.519/ 2024-08 9598 9619