ACL 2023long1 citations
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing
Abstract
We provide a survey and empirical comparison of the state-of-the-art in neural selective classification for NLP tasks. We also provide a methodological blueprint, including a novel metric called refinement that provides a calibrated evaluation of confidence functions for selective prediction. Finally, we supply documented, open-source code to support the future development of selective prediction techniques.
BibTeX
@inproceedings{gu-hopkins-2023-evaluation,
title = "On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing",
author = "Gu, Zhengyao and
Hopkins, Mark",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-long.437/",
doi = "10.18653/v1/2023.acl-long.437",
pages = "7888--7899"
}