基于依赖分析和图形神经网络的实体关系提取方法
Fupeng Wei1, Xing Liu2, Limin Pan3
1School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Scientific reports
|December 30, 2025
概括
通过整合语法分析和图形神经网络,MGRel模型改善了校园安全的实体关系提取. 这提高了准确性,处理复杂的关系,促进了交通安全知识的获取.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 当前知识图的三元提取方法与文本中的语义模糊性和重叠关系作斗争.
- 在校园安全数据中,实体分离和远处实体之间的弱关联降低了提取准确性和回忆.
- 现有的技术缺乏灵活性来管理复杂的,重叠的关系,这对于校园交通安全管理至关重要.
研究的目的:
- 引入MGRel模型,用于在校园安全环境中增强实体关系提取.
- 解决当前方法中关于模糊性,重叠关系和实体分离的局限性.
- 改进校园安全治理的知识获取,特别是交通安全.
主要方法:
- 在MGRel模型中将依赖语法分析与图形神经网络 (GNN) 集成.
- 使用双重分析机制 (全球语义依赖和语法依赖) 来捕获远距离关联.
- 开发一个层次性的语义图卷积神经网络和一个以注意力驱动的多功能融合模块,用于精细的特征提取和分类.
主要成果:
- 与最佳模型相比,MGRel模型在基准数据集:NYT (+1.3%),WebNLG (+0.4%) 和DuIE (+3.2%) 上显示出更好的F1分数.
- 有效地捕获远距离的语义关联,精细地提取暗示的语义特征.
- 通过噪声过,增强三元分类器的辨别能力.
结论:
- 在实体关系提取方面,MGRel模型显著优于现有的技术.
- 该模型显示了校园安全应用的巨大优势和潜在价值,特别是校园交通安全.
- 语法分析和GNN的整合为复杂的关系提取挑战提供了强大的解决方案.
更多相关视频
07:08Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
7.6K
07:35A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
2.1K
相关概念视频
Ogive Graph
6.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.6K
Relationship Formation
45.2K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
45.2K
Extraction: Advanced Methods
1.0K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
1.0K
Drug Dependence
1.5K
Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
1.5K
Neural Circuits
2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K
Graphs of Equations in Two Variables
155
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
155
