命名实体识别和解析之间的区别?

发布于 2024-12-22 04:49:14 字数 37 浏览 2 评论 0原文

命名实体识别和命名实体解析有什么区别?希望有一个实际的例子。

What is the difference between named entity recognition and named entity resolution? Would appreciate a practical example.

如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论, 你可以免费 注册 一个本站的账号。

评论(1

ゝ偶尔ゞ 2024-12-29 04:49:14

命名实体识别是在运行文本中提取名称并对它们进行分类。例如,给定 (1)

John Terry to face criminal charges over alleged racist abuse

NE 识别器将输出

[PER John Terry] to face criminal charges over alleged racist abuse

NE解析或归一化意味着找出名称所指的外部世界中的哪个实体。例如,在上面的示例中,输出将用足球运动员约翰·特里(John Terry)的唯一标识符进行注释,例如他的维基百科URL:,

[https://en.wikipedia.org/wiki/John_Terry John Terry] to face criminal charges
over alleged racist abuse

而不是例如

https://en.wikipedia.org/wiki/John_Terry_%28actor%29
https://en.wikipedia.org/wiki/John_Terry_%28baseball%29

或维基百科知道的任何其他约翰·特里(John Terry)。

Named entity recognition is picking up the names and classifying them in running text. E.g., given (1)

John Terry to face criminal charges over alleged racist abuse

an NE recognizer will output

[PER John Terry] to face criminal charges over alleged racist abuse

NE resolution or normalization means finding out which entity in the outside world a name refers to. E.g., in the above example, the output would be annotated with a unique identifier for the footballer John Terry, like his Wikipedia URL:

[https://en.wikipedia.org/wiki/John_Terry John Terry] to face criminal charges
over alleged racist abuse

as opposed to, e.g.

https://en.wikipedia.org/wiki/John_Terry_%28actor%29
https://en.wikipedia.org/wiki/John_Terry_%28baseball%29

or any of the other John Terry's the Wikipedia knows.

~没有更多了~
我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站,即表示您同意使用 Cookies 和您的相关数据。
原文