基于阅读理解的汉越跨语言新闻事件要素抽取方法(News Events Element Extraction of Chinese-Vietnamese Cross-language Using Reading Comprehension)

Enchang Zhu (朱恩昌), Zhengtao Yu (余正涛), Chengxiang Gao (高盛祥), Yuxin Huang (黄宇欣), Junjun Guo (郭军军)


Abstract
新闻事件要素抽取旨在抽取新闻文本中描述主题事件的事件要素,如时间、地点、人物和组织机构名等。传统的事件要素抽取方法在资源稀缺型语言上性能欠佳,且对长文本语义建模困难。对此,本文提出了基于阅读理解的汉越跨语言新闻事件要素抽取方法。该方法首先利用新闻长文本关键句检索模块过滤含噪声的句子。然后利用跨语言阅读理解模型将富资源语言知识迁移到越南语,提高越南语新闻事件要素抽取的性能。在自建的汉越双语新闻事件要素抽取数据集上的实验证明了本文方法的有效性。
Anthology ID:
2021.ccl-1.19
Volume:
Proceedings of the 20th Chinese National Conference on Computational Linguistics
Month:
August
Year:
2021
Address:
Huhhot, China
Venue:
CCL
SIG:
Publisher:
Chinese Information Processing Society of China
Note:
Pages:
196–207
Language:
Chinese
URL:
https://aclanthology.org/2021.ccl-1.19
DOI:
Bibkey:
Cite (ACL):
Enchang Zhu, Zhengtao Yu, Chengxiang Gao, Yuxin Huang, and Junjun Guo. 2021. 基于阅读理解的汉越跨语言新闻事件要素抽取方法(News Events Element Extraction of Chinese-Vietnamese Cross-language Using Reading Comprehension). In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 196–207, Huhhot, China. Chinese Information Processing Society of China.
Cite (Informal):
基于阅读理解的汉越跨语言新闻事件要素抽取方法(News Events Element Extraction of Chinese-Vietnamese Cross-language Using Reading Comprehension) (Zhu et al., CCL 2021)
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PDF:
https://aclanthology.org/2021.ccl-1.19.pdf