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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

432
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...
432
Structural Classification of Joints01:20

Structural Classification of Joints

3.2K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.2K
Correlation and Regression00:53

Correlation and Regression

1.2K
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...
1.2K
Deductive Reasoning01:16

Deductive Reasoning

55.1K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
55.1K
Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

585
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
585
Complementation Tests00:49

Complementation Tests

4.9K
A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
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相关实验视频

Updated: Jun 12, 2025

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
05:54

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Published on: October 18, 2018

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有效的句子级关系提取模型使用以实体为中心的依赖树.

Seongsik Park1, Harksoo Kim2

  • 1Department of Artificial Intelligence, Konkuk University, Seoul, Republic of South Korea.

PeerJ. Computer science
|September 24, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一个以实体为中心的依赖树,用于关系提取,改进语法和词汇信息捕获. 这种新型模型可以高效地实现最先进的结果,减少对资源的需求.

关键词:
依赖树是一个依赖树.实体中心的依赖树.图表注意力网络 图表注意力网络关系提取 关系提取

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State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior
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State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior

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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

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相关实验视频

Last Updated: Jun 12, 2025

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
05:54

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Published on: October 18, 2018

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State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior
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State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior

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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

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科学领域:

  • 自然语言处理自然语言处理.
  • 提取信息 提取信息
  • 计算语言学 计算语言学

背景情况:

  • 传统的基于依赖关系的关系提取方法面临着硬修剪 (丢失信息) 和软修剪 (削弱语法) 的局限性.
  • 向基于语言模型 (LM) 的方法的转变增加了资源消耗和计算成本,但仅带来了边际收益.
  • 现有的方法很难有效地平衡语法信息和词汇细节.

研究的目的:

  • 提出一种有效的关系提取模型,克服现有方法的局限性.
  • 为了同时增强语法和词汇信息的捕获.
  • 减少对大型语言模型和附加数据的依赖.

主要方法:

  • 开发了一个以实体为中心的依赖树,用实体作为根节点重建依赖树.
  • 提出了一个新的模型,将以实体为中心的依赖树与语言模型集成在一起.
  • 在标准数据集上评估模型:TACRED,Re-TACRED和SemEval 2010第8任务.

主要成果:

  • 获得了最先进的F1分数:在TACRED上达到74.9%,在Re-TACRED上达到91.2%,在SemEval 2010任务8上达到90.5%.
  • 证明有效地捕获语法信息,而不会失去词汇细节.
  • 展示了有效的关系提取,而不需要更大的模型或额外的数据.

结论:

  • 以实体为中心的依赖树方法为关系提取提供了一个强大的解决方案.
  • 拟议的模型为当前基于LM的方法提供了一个计算效率高和高性能替代方案.
  • 这种方法通过优化语法和词汇特征的使用来推进关系提取.