@inproceedings{guo-etal-2023-ccl23,
title = "{CCL}23-Eval 任务9总结报告:汉语高考阅读理解对抗鲁棒评测 (Overview of {CCL}23-Eval Task 9: Adversarial Robustness Evaluation for {C}hinese {G}aokao Reading Comprehension)",
author = "Guo, Yaxin and
Yan, Guohang and
Tan, Hongye and
Li, Ru",
editor = "Sun, Maosong and
Qin, Bing and
Qiu, Xipeng and
Jiang, Jing and
Han, Xianpei",
booktitle = "Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)",
month = aug,
year = "2023",
address = "Harbin, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2023.ccl-3.33",
pages = "303--309",
abstract = "{``}汉语高考阅读理解对抗鲁棒评测任务致力于提升机器阅读理解模型在复杂、真实对抗环境下的鲁棒性。本次任务设计了四种对抗攻击策略(关键词扰动、推理逻辑扰动、时空属性扰动、因果关系扰动),构建了对抗鲁棒子集GCRC advRobust。任务需要根据给定的文章和问题从4个选项中选择正确的答案。本次评测受到工业界和学术界的广泛关注,共有29支队伍报名参赛,但由于难度较大,仅有8支队伍提交了结果。有关该任务的所有技术信息,包括系统提交、官方结果以及支持资源和软件的链接,可从任务网站获取1。{''}",
language = "Chinese",
}
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<title>CCL23-Eval 任务9总结报告:汉语高考阅读理解对抗鲁棒评测 (Overview of CCL23-Eval Task 9: Adversarial Robustness Evaluation for Chinese Gaokao Reading Comprehension)</title>
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<abstract>“汉语高考阅读理解对抗鲁棒评测任务致力于提升机器阅读理解模型在复杂、真实对抗环境下的鲁棒性。本次任务设计了四种对抗攻击策略(关键词扰动、推理逻辑扰动、时空属性扰动、因果关系扰动),构建了对抗鲁棒子集GCRC advRobust。任务需要根据给定的文章和问题从4个选项中选择正确的答案。本次评测受到工业界和学术界的广泛关注,共有29支队伍报名参赛,但由于难度较大,仅有8支队伍提交了结果。有关该任务的所有技术信息,包括系统提交、官方结果以及支持资源和软件的链接,可从任务网站获取1。”</abstract>
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%0 Conference Proceedings
%T CCL23-Eval 任务9总结报告:汉语高考阅读理解对抗鲁棒评测 (Overview of CCL23-Eval Task 9: Adversarial Robustness Evaluation for Chinese Gaokao Reading Comprehension)
%A Guo, Yaxin
%A Yan, Guohang
%A Tan, Hongye
%A Li, Ru
%Y Sun, Maosong
%Y Qin, Bing
%Y Qiu, Xipeng
%Y Jiang, Jing
%Y Han, Xianpei
%S Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
%D 2023
%8 August
%I Chinese Information Processing Society of China
%C Harbin, China
%G Chinese
%F guo-etal-2023-ccl23
%X “汉语高考阅读理解对抗鲁棒评测任务致力于提升机器阅读理解模型在复杂、真实对抗环境下的鲁棒性。本次任务设计了四种对抗攻击策略(关键词扰动、推理逻辑扰动、时空属性扰动、因果关系扰动),构建了对抗鲁棒子集GCRC advRobust。任务需要根据给定的文章和问题从4个选项中选择正确的答案。本次评测受到工业界和学术界的广泛关注,共有29支队伍报名参赛,但由于难度较大,仅有8支队伍提交了结果。有关该任务的所有技术信息,包括系统提交、官方结果以及支持资源和软件的链接,可从任务网站获取1。”
%U https://aclanthology.org/2023.ccl-3.33
%P 303-309
Markdown (Informal)
[CCL23-Eval 任务9总结报告:汉语高考阅读理解对抗鲁棒评测 (Overview of CCL23-Eval Task 9: Adversarial Robustness Evaluation for Chinese Gaokao Reading Comprehension)](https://aclanthology.org/2023.ccl-3.33) (Guo et al., CCL 2023)
ACL