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相关概念视频

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

482
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...
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Correlation01:09

Correlation

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
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Correlation and Regression00:53

Correlation and Regression

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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Regional Terms01:12

Regional Terms

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Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Degree of Unsaturation02:05

Degree of Unsaturation

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The degree of unsaturation (U), or index of hydrogen deficiency (IHD), is defined as the difference in the number of pairs of hydrogen atoms between the compound and the acyclic alkane with the same number of carbon atoms. Each double bond or ring costs two hydrogen atoms compared to a saturated analog and results in one degree of unsaturation.
The degree of unsaturation for hydrocarbons is U = (2C + 2 − H) / 2, where C is the number of carbon atoms and H is the number of hydrogen atoms.
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相关实验视频

Updated: Jul 17, 2025

A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
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FGSI:基于细粒度的语义信息的关系提取方法的远程监督.

Chenghong Sun1, Weidong Ji2, Guohui Zhou1

  • 1College of Computer Science and Information Engineering, Harbin Normal University, Harbin, 150025, China.

Scientific reports
|August 28, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的远程监督关系提取方法,重点关注关键句子语义,以减少噪音. 改进的模型提高了知识图构建的精度和回忆.

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科学领域:

  • 自然语言处理自然语言处理.
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 关系提取对于知识图构造至关重要.
  • 远程监控减少了手动注释,但引入了杂的数据.
  • 噪音数据显著阻碍了关系提取模型的性能.

研究的目的:

  • 提出一种新的关系提取模型,有效地处理远程监控中的杂数据.
  • 为了提高关系提取,利用句子中的关键语义信息.
  • 为了提高知识图表构建的准确性和稳定性.

主要方法:

  • 根据实体的位置将句子划分为三个部分.
  • 使用句子内注意力机制来识别细粒度的语义特征.
  • 改进袋内注意力机制,使用值门来过噪音的句子.

主要成果:

  • 拟议的模型在精度回忆曲线,P@N值和AUC值方面表现得更好.
  • 有效地减少了与关系提取无关的噪音信息的干扰.
  • 尽量减少噪音数据对关系提取模型的影响.

结论:

  • 拟议的方法有效地利用关键的语义信息,以减轻远程监督关系提取中的噪音.
  • 该模型显示了与现有方法相比的显著改进,验证了其有效性.
  • 这种方法有助于更准确,更有效的知识图构建.