中文关系抽取的句级语言学特征探究(A Probe into the Sentence-level Linguistic Features of Chinese Relation Extraction)

Baixi Xing (邢百西), Jishun Zhao (赵继舜), Pengyuan Liu (刘鹏远)


Abstract
神经网络模型近些年在关系抽取任务上已经展示出了很好的效果,然而我们对于特征提取的过程所知甚少,而这也进一步限制了深度神经网络模型在关系抽取任务上的进一步发展。当前已有研究工作对英文关系抽取的语言学特征进行探究,并且得到了一些规律。然而由于中文与西方语言之间明显的差异性,其所探究到的规律与解释性不适用于中文关系抽取。本文首次对中文关系抽取神经网络进行探究,采用了四个角度共13种探究任务,其中包含中文特有的分词探究任务。在两个关系抽取数据集上进行了实验,探究了中文关系抽取模型进行特征提取的规律。
Anthology ID:
2021.ccl-1.58
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:
643–654
Language:
Chinese
URL:
https://aclanthology.org/2021.ccl-1.58
DOI:
Bibkey:
Cite (ACL):
Baixi Xing, Jishun Zhao, and Pengyuan Liu. 2021. 中文关系抽取的句级语言学特征探究(A Probe into the Sentence-level Linguistic Features of Chinese Relation Extraction). In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 643–654, Huhhot, China. Chinese Information Processing Society of China.
Cite (Informal):
中文关系抽取的句级语言学特征探究(A Probe into the Sentence-level Linguistic Features of Chinese Relation Extraction) (Xing et al., CCL 2021)
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PDF:
https://aclanthology.org/2021.ccl-1.58.pdf