Hierarchical graph attention network for relation extraction | |
Sun,Hongru; Ni,Wancheng; Yang,Yiping | |
发表期刊 | Journal of Physics: Conference Series |
ISSN | 1742-6588 |
2021-02-01 | |
卷号 | 1780期号:1 |
摘要 | Abstract Previous research on relation extraction has proved the effectiveness of using dependency trees, which build non-local connections between tokens. However, the existing dependency-based models treat the dependency trees as an inherently flat graph, which causes a loss of dependency information for representing sentences. Besides, they fail to consider the fact that the importance of tokens on the dependency tree varies with different relations to be extracted. In this paper, we propose a novel hierarchical graph attention network HierGAT, which can generate multi-level dependency trees and extract key information from them to improve relation extraction. Specifically, it contains multiple dependency-based graph attention layers, each of which takes a different dependency tree generated by an adaptive subtree pruning strategy as input, and distinguishes the importance of different tokens in a dependency tree. Finally, HierGAT integrates the output token representations of each layer with a multi-head attention mechanism, and learns sentence representation for relation extraction through a pooling layer. The experimental results demonstrate that our method outperforms state-of-the-art baselines on the benchmark datasets. |
DOI | 10.1088/1742-6596/1780/1/012030 |
语种 | 英语 |
WOS记录号 | IOP:1742-6588-1780-1-012030 |
出版者 | IOP Publishing |
七大方向——子方向分类 | 人工智能基础理论 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/43125 |
专题 | 综合信息系统研究中心_视知觉融合及其应用 复杂系统认知与决策实验室_智能系统与工程 |
作者单位 | Institute of Automation, Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Sun,Hongru,Ni,Wancheng,Yang,Yiping. Hierarchical graph attention network for relation extraction[J]. Journal of Physics: Conference Series,2021,1780(1). |
APA | Sun,Hongru,Ni,Wancheng,&Yang,Yiping.(2021).Hierarchical graph attention network for relation extraction.Journal of Physics: Conference Series,1780(1). |
MLA | Sun,Hongru,et al."Hierarchical graph attention network for relation extraction".Journal of Physics: Conference Series 1780.1(2021). |
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