Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev, Artem Shelmanov. Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 11659-11681, Association for Computational Linguistics, 2023. [doi]
@inproceedings{VazhentsevKTPPB23,
title = {Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks},
author = {Artem Vazhentsev and Gleb Kuzmin and Akim Tsvigun and Alexander Panchenko and Maxim Panov and Mikhail Burtsev and Artem Shelmanov},
year = {2023},
url = {https://aclanthology.org/2023.acl-long.652},
researchr = {https://researchr.org/publication/VazhentsevKTPPB23},
cites = {0},
citedby = {0},
pages = {11659-11681},
booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-72-2},
}