| 来源类型 | Discussion paper
|
| 规范类型 | 论文
|
| 来源ID | DP15825
|
| DP15825 Human Biographical Record (HBR) |
| Arash Nekoei; Fabian Sinn
|
| 发表日期 | 2021-02-18
|
| 出版年 | 2021
|
| 语种 | 英语
|
| 摘要 | We construct a new dataset of more than seven million notable individuals across recorded human history, the Human Biographical Record (HBR). With Wikidata as the backbone, HBR adds further information from various digital sources, including Wikipedia in all 292 languages. Machine learning and text analysis combine the sources and extract information on date and place of birth and death, gender, occupation, education, and family background. This paper discusses HBR's construction and its completeness, coverage, accuracy, and also its strength and weakness relative to prior datasets. HBR is the first part of a larger project, the human record project that we briefly introduce. |
| 主题 | Economic History
|
| 关键词 | Bid data
Machine learning
Economic history
|
| URL | https://cepr.org/publications/dp15825
|
| 来源智库 | Centre for Economic Policy Research (United Kingdom)
|
| 资源类型 | 智库出版物
|
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/544824
|
推荐引用方式
GB/T 7714 |
Arash Nekoei,Fabian Sinn. DP15825 Human Biographical Record (HBR). 2021.
|
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