结合全局对应矩阵和相对位置信息的古汉语实体关系联合抽取(Joint Extraction of Ancient Chinese Entity Relations by Combining Global Correspondence Matrix and Relative Position Information)

Yiyu Hu (胡益裕), Jiali Zuo (左家莉), Xueqiang Ceng (曾雪强), Zhongying Wan (万中英), Mingwen Wang (王明文)


Abstract
“实体关系抽取是信息抽取领域中一项重要任务,目前实体关系抽取任务主要聚焦于英文和现代汉语领域,关于古汉语领域的数据集构建和方法的研究目前却较少。针对这一问题,本文在研究了开源的《资治通鉴》语料后,人工构建了一个古汉语实体关系数据集,并设计了一种结合全局对应矩阵和相对位置信息的实体关系联合抽取方法。最后通过在本文构建的数据集上进行实验,证明了该方法在古汉语实体关系抽取任务上的有效性。”
Anthology ID:
2023.ccl-1.22
Volume:
Proceedings of the 22nd Chinese National Conference on Computational Linguistics
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:
241–252
Language:
Chinese
URL:
https://aclanthology.org/2023.ccl-1.22
DOI:
Bibkey:
Cite (ACL):
Yiyu Hu, Jiali Zuo, Xueqiang Ceng, Zhongying Wan, and Mingwen Wang. 2023. 结合全局对应矩阵和相对位置信息的古汉语实体关系联合抽取(Joint Extraction of Ancient Chinese Entity Relations by Combining Global Correspondence Matrix and Relative Position Information). In Proceedings of the 22nd Chinese National Conference on Computational Linguistics, pages 241–252, Harbin, China. Chinese Information Processing Society of China.
Cite (Informal):
结合全局对应矩阵和相对位置信息的古汉语实体关系联合抽取(Joint Extraction of Ancient Chinese Entity Relations by Combining Global Correspondence Matrix and Relative Position Information) (Hu et al., CCL 2023)
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https://aclanthology.org/2023.ccl-1.22.pdf