Robotics & Machine Learning Daily News2024,Issue(Nov.19) :160-163.

Patent Issued for Model-based semantic text searching (USPTO 12130850)

基于模型的语义文本搜索专利(USPTO 12130850)

Robotics & Machine Learning Daily News2024,Issue(Nov.19) :160-163.

Patent Issued for Model-based semantic text searching (USPTO 12130850)

基于模型的语义文本搜索专利(USPTO 12130850)

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摘要

记者从发明人提供的背景资料中获得以下引述:“许多应用程序,包括字处理应用程序、web应用程序、移动应用程序,”除其他外,允许用户在文档和/或用户界面中执行文本搜索。为了例如,当查看由应用程序显示的电子文档时,用户可以操作或者激活单词搜索用户界面(例如,通过按键盘上的“ctrl+f”)。单词搜索用户界面允许用户输入包含一个或多个字符、单词、短语等的关键字。A由应用程序实现的文本搜索系统可以识别并返回其中的文本部分与关键字匹配或对应的文档。这样,用户就可以导航到与关键词内容相关的文档。

Abstract

Reporters obtained the following quote from the background information supplied by the inventors:“Numerous applications, including word processing applications , web applications, mobile applications,among others, enable users to perform s earches for text within documents and/or user interfaces. Forexample, when view ing an electronic document displayed by an application, a user may be able to op enor activate a word search user interface (e.g., by pressing “Ctrl+F” on a key board). The word search userinterface may allow the user to enter a keyword con taining one or more characters, words, phrases, etc. Atext-searching system imp lemented by the application can then identify and return portions of text withinthe document that match or correspond to the keyword. In this way, the user can navigate to portions ofthe document relevant to content of the keyword.

Key words

Adobe Inc./Business/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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