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相关概念视频

Structuralism01:26

Structuralism

3.1K
Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
Titchener's approach to structuralism was unique. He...
3.1K
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.7K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.7K
Introduction to Structures01:30

Introduction to Structures

1.6K
A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
1.6K
Structural Isomerism02:34

Structural Isomerism

21.4K
Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula. Structural isomerism of coordination compounds can be divided into two subcategories, the linkage isomers and coordination-sphere isomers.
Linkage isomers occur when the coordination compound contains a ligand that can bind to the transition metal center through two different atoms. For example, the CN− ligand can bind through the carbon atom or through the nitrogen atom. Similarly, SCN− can...
21.4K
Structural Properties and Dimensions of Lumber01:21

Structural Properties and Dimensions of Lumber

359
Wood's structural properties derive from fibers aligned along the tree's length, contributing significantly to its mechanical strength. Wood exhibits up to twenty times greater tensile strength along these fibers compared to across them, and generally shows better performance under compression than tension. The length of fibers varies, with hardwoods having fibers around one twenty-fifth inch long and softwoods ranging from one-eighth to one-third inch.
The strength characteristics of...
359
Structures of Carboxylic Acid Derivatives01:28

Structures of Carboxylic Acid Derivatives

3.7K
Structure of Carboxylic Acid Derivatives
Carboxylic acid derivatives contain an acyl group attached to a heteroatom such as chlorine, oxygen, or nitrogen. The carbonyl carbon and oxygen are both sp2-hybridized with an unhybridized p orbital.
The three sp2 orbitals of the carbonyl carbon form three σ bonds, one each with the carbonyl oxygen, the α carbon, and the heteroatom, whereas the other two sp2 orbitals of the carbonyl oxygen are occupied by the lone pairs. Further, the unhybridized p...
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相关实验视频

Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.4K

代表学习方法用于理解结构化文档.

Akkshita Trivedi1, Sandeep Khanna2, Santanu Chaudhury3

  • 1Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur, Jodhpur, India. trivedi.2@iitj.ac.in.

Scientific reports
|December 26, 2025
PubMed
概括
此摘要是机器生成的。

文档关系实体嵌入学习器 (D-REEL) 通过模拟文本,图形和表格之间的语义关系来提高文档理解. 这种新的框架可以在复杂的布局中提高相关性准确性和提取性能.

关键词:
文件布局 文档布局 文档布局提取信息 提取信息代表性的学习学习.语义相关性 语义相关性

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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相关实验视频

Last Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 信息检索 信息检索

背景情况:

  • 当前的文档理解方法与复杂的布局和元素之间的逻辑连接作斗争.
  • 现有的方法未能在各种文档结构中捕捉到深层次的语义关系.

研究的目的:

  • 介绍一个新的表示学习框架,文档关系实体嵌入学习者 (D-REEL),以建模文档中的复杂语义关系.
  • 通过准确评估文档字段之间的语义相关性来提高文档的理解,无论它们的空间布局如何.

主要方法:

  • D-REEL生成提取候选项,并为每个候选项学习密集向量表示 (嵌入).
  • 比较嵌入,以评估语义相关性和确定文章关系.
  • 将空间信息与特定领域的模式相结合,用于精确的提取和相关性评分.
  • 建议使用位置无神论定位的语义结构一致性 (SSC) 度量.

主要成果:

  • 在公开数据集上显示的相关性准确性和提取性能显著改善.
  • 在相关性准确性方面实现了2-3%的平均mAP增量.
  • 在PRIMA数据集中获得了近10%的SSC改进,表明有效的关系测量.

结论:

  • 对于理解复杂的文档布局和语义关系,D-REEL提供了一个强大的解决方案.
  • 该框架允许精确的提取和可靠的相关性评分,即使是不规则的文档结构.
  • 拟议的SSC指标有效量化了文档中的语义结构一致性.