CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction)
Hongxiang Chang, Yang Liu, Meng Xu, Yingying Wang, Cunliang Kong, Liner Yang, Yang Erhong, Maosong Sun, Gaoqi Rao, Renfen Hu, Zhenghao Liu, 鸿翔 常, 洋 刘, 萌 徐, 莹莹 王, 存良 孔, 麟儿 杨, 尔弘 杨, 茂松 孙, 高琦 饶, 韧奋 胡, 正皓 刘
Abstract
“汉语学习者文本纠错(Chinese Learner Text Correction)评测比赛,是依托于第22届中国计算语言学大会举办的技术评测。针对汉语学习者文本,设置了多维度汉语学习者文本纠错和中文语法错误检测两个赛道。结合人工智能技术的不断进步和发展的时代背景,在两赛道下分别设置开放和封闭任务。开放任务允许使用大模型。以汉语学习者文本多维标注语料库YACLC为基础建设评测数据集,建立基于多参考答案的评价标准,构建基准评测框架,进一步推动汉语学习者文本纠错研究的发展。共38支队伍报名参赛,其中5支队伍成绩优异并提交了技术报告。”- Anthology ID:
- 2023.ccl-3.27
- Volume:
- Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
- Month:
- August
- Year:
- 2023
- Address:
- Harbin, China
- Editors:
- Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 239–249
- Language:
- Chinese
- URL:
- https://aclanthology.org/2023.ccl-3.27
- DOI:
- Bibkey:
- Cite (ACL):
- Hongxiang Chang, Yang Liu, Meng Xu, Yingying Wang, Cunliang Kong, Liner Yang, Yang Erhong, Maosong Sun, Gaoqi Rao, Renfen Hu, Zhenghao Liu, 鸿翔 常, 洋 刘, 萌 徐, 莹莹 王, 存良 孔, 麟儿 杨, 尔弘 杨, 茂松 孙, et al.. 2023. CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction). In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 239–249, Harbin, China. Chinese Information Processing Society of China.
- Cite (Informal):
- CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction) (Chang et al., CCL 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.ccl-3.27.pdf
Export citation
@inproceedings{chang-etal-2023-ccl23,
title = "{CCL}23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of {CCL}23-Eval Task: {C}hinese Learner Text Correction)",
author = "Chang, Hongxiang and
Liu, Yang and
Xu, Meng and
Wang, Yingying and
Kong, Cunliang and
Yang, Liner and
Erhong, Yang and
Sun, Maosong and
Rao, Gaoqi and
Hu, Renfen and
Liu, Zhenghao and
常, 鸿翔 and
刘, 洋 and
徐, 萌 and
王, 莹莹 and
孔, 存良 and
杨, 麟儿 and
杨, 尔弘 and
孙, 茂松 and
饶, 高琦 and
胡, 韧奋 and
刘, 正皓",
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-3.27",
pages = "239--249",
abstract = "{``}汉语学习者文本纠错(Chinese Learner Text Correction)评测比赛,是依托于第22届中国计算语言学大会举办的技术评测。针对汉语学习者文本,设置了多维度汉语学习者文本纠错和中文语法错误检测两个赛道。结合人工智能技术的不断进步和发展的时代背景,在两赛道下分别设置开放和封闭任务。开放任务允许使用大模型。以汉语学习者文本多维标注语料库YACLC为基础建设评测数据集,建立基于多参考答案的评价标准,构建基准评测框架,进一步推动汉语学习者文本纠错研究的发展。共38支队伍报名参赛,其中5支队伍成绩优异并提交了技术报告。{''}",
language = "Chinese",
}
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<abstract>“汉语学习者文本纠错(Chinese Learner Text Correction)评测比赛,是依托于第22届中国计算语言学大会举办的技术评测。针对汉语学习者文本,设置了多维度汉语学习者文本纠错和中文语法错误检测两个赛道。结合人工智能技术的不断进步和发展的时代背景,在两赛道下分别设置开放和封闭任务。开放任务允许使用大模型。以汉语学习者文本多维标注语料库YACLC为基础建设评测数据集,建立基于多参考答案的评价标准,构建基准评测框架,进一步推动汉语学习者文本纠错研究的发展。共38支队伍报名参赛,其中5支队伍成绩优异并提交了技术报告。”</abstract>
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%0 Conference Proceedings %T CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction) %A Chang, Hongxiang %A Liu, Yang %A Xu, Meng %A Wang, Yingying %A Kong, Cunliang %A Yang, Liner %A Erhong, Yang %A Sun, Maosong %A Rao, Gaoqi %A Hu, Renfen %A Liu, Zhenghao %A 常, 鸿翔 %A 刘, 洋 %A 徐, 萌 %A 王, 莹莹 %A 孔, 存良 %A 杨, 麟儿 %A 杨, 尔弘 %A 孙, 茂松 %A 饶, 高琦 %A 胡, 韧奋 %A 刘, 正皓 %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 chang-etal-2023-ccl23 %X “汉语学习者文本纠错(Chinese Learner Text Correction)评测比赛,是依托于第22届中国计算语言学大会举办的技术评测。针对汉语学习者文本,设置了多维度汉语学习者文本纠错和中文语法错误检测两个赛道。结合人工智能技术的不断进步和发展的时代背景,在两赛道下分别设置开放和封闭任务。开放任务允许使用大模型。以汉语学习者文本多维标注语料库YACLC为基础建设评测数据集,建立基于多参考答案的评价标准,构建基准评测框架,进一步推动汉语学习者文本纠错研究的发展。共38支队伍报名参赛,其中5支队伍成绩优异并提交了技术报告。” %U https://aclanthology.org/2023.ccl-3.27 %P 239-249
Markdown (Informal)
[CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction)](https://aclanthology.org/2023.ccl-3.27) (Chang et al., CCL 2023)
- CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction) (Chang et al., CCL 2023)
ACL
- Hongxiang Chang, Yang Liu, Meng Xu, Yingying Wang, Cunliang Kong, Liner Yang, Yang Erhong, Maosong Sun, Gaoqi Rao, Renfen Hu, Zhenghao Liu, 鸿翔 常, 洋 刘, 萌 徐, 莹莹 王, 存良 孔, 麟儿 杨, 尔弘 杨, 茂松 孙, et al.. 2023. CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction). In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 239–249, Harbin, China. Chinese Information Processing Society of China.