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相关概念视频

Archival Research01:40

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...

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相关实验视频

Updated: Jul 20, 2026

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
08:08

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

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一个大规模的数据集,用于中国历史文档的识别和分析.

Yongxin Shi1, Dezhi Peng1,2, Yuyi Zhang1

  • 1School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China.

Scientific data
|January 28, 2025
PubMed
概括

研究人员开发了HisDoc1B,这是一个用于分析中国历史文献的大型数据集. 这一数据集显著提升了深度学习模型的能力,用于从历史文本中识别古代中国文化.

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Deep Neural Networks for Image-Based Dietary Assessment
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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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相关实验视频

Last Updated: Jul 20, 2026

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Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

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Deep Neural Networks for Image-Based Dietary Assessment
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科学领域:

  • 数字人文学科 数字人文学科
  • 计算机视觉 计算机视觉
  • 历史语言学 历史语言学

背景情况:

  • 中国文明拥有丰富的历史,在许多历史文本中记录下来.
  • 这些文件的自动识别和分析对于理解中国古代文化至关重要.
  • 目前的深度学习模型受到缺乏规模,字符多样性和书级注释的有限数据集的阻碍.

研究的目的:

  • 介绍HisDoc1B,这是一套新型的大型数据集,专为中国历史文档识别和分析而设计.
  • 在规模,字符类别和注释丰富性方面解决现有数据集的局限性.
  • 为推进使用深度学习进行历史文档分析研究提供一个有价值的资源.

主要方法:

  • 构建HisDoc1B数据集,包括40,281本书,超过300万张图像和超过10亿个字符.
  • 包括30615个字符类别,书级注释和标点注释.
  • 通过广泛的实验验证,证明数据集的质量和实用性.

主要成果:

  • HisDoc1B是中国历史文档分析的最大数据集,超过现有数据集的200倍以上.
  • 它是唯一提供全面的书本级和标点注释的数据集.
  • 实验结果证实了数据集的高质量和深度学习模型的实际适用性.

结论:

  • HisDoc1B显著增强了中国历史文档分析可用的资源的规模和范围.
  • 数据集的独特注释方便对古代中国文本进行更复杂的研究.
  • HisDoc1B准备加速中国历史文档的自动识别和分析方面的进步.