Robotics & Machine Learning Daily News2024,Issue(Nov.22) :135-141.

'System and Methods for Extracting Statistical Information From Documents' in Pa tent Application Approval Process (USPTO 20240370448)

“从文件中提取统计信息的系统和方法”(USPTO 20240370448)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :135-141.

'System and Methods for Extracting Statistical Information From Documents' in Pa tent Application Approval Process (USPTO 20240370448)

“从文件中提取统计信息的系统和方法”(USPTO 20240370448)

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摘要

以下引文是新闻编辑从新闻编辑提供的背景资料中获得的发明人:“描述研究、调查、科学工作对于那些对相同或相关主题感兴趣的人来说是非常有价值的。然而,从一组源中识别和提取统计关系可能是一个挑战部分原因是审查和处理大量这样的文档既耗时又费力计算成本高。本文公开的系统和方法的实施例涉及单独和集体地解决这些问题和相关问题。

Abstract

The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Information and relationships contained in docu ments describing studies, investigations,and scientific work can be very valuab le to those who are interested in the same or related topics.However, identifyi ng and extracting statistical relationships from a set of sources can be challen ging, atleast in part because reviewing and processing a large number of such d ocuments is time-consuming andcomputationally expensive. Embodiments of the sys tems and methods disclosed herein are directed tosolving these and related prob lems individually and collectively.”

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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