“Temperature-scaling Surprisal Estimates Improve Fit to Human Reading Times – But Does it Do so for the ‘Right Reasons’?,” in The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 2024.
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BibTeX
@inproceedings{Liu_ACL24,
TITLE = {Temperature-scaling Surprisal Estimates Improve Fit to Human Reading Times -- But Does it Do so for the {\textquotedblleft}Right Reasons{\textquotedblright}?},
AUTHOR = {Liu, Tong and {\v S}krjanec, Iza and Demberg, Vera},
LANGUAGE = {eng},
DOI = {10.18653/v1/2024.acl-long.519},
PUBLISHER = {ACL},
YEAR = {2024},
BOOKTITLE = {The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)},
EDITOR = {Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek},
PAGES = {9598--9619},
ADDRESS = {Bangkok, Thailand},
}Endnote
%0 Conference Proceedings %A Liu, Tong %A Škrjanec, Iza %A Demberg, Vera %+ External Organizations External Organizations Multimodal Language Processing, MPI for Informatics, Max Planck Society %T Temperature-scaling Surprisal Estimates Improve Fit to Human Reading Times – But Does it Do so for the “Right Reasons”? : %G eng %U http://hdl.handle.net/21.11116/0000-000F-EAA1-3 %R 10.18653/v1/2024.acl-long.519 %D 2024 %B 62nd Annual Meeting of the Association for Computational Linguistic %Z date of event: 2024-08-11 - 2024-08-16 %C Bangkok, Thailand %B The 62nd Annual Meeting of the Association for Computational Linguistics %E Ku, Lun-Wei; Martins, Andre; Srikumar, Vivek %P 9598 - 9619 %I ACL