Adobe, Inc.

Joon Kim

Sachin Soni

Franck Dernoncourt

Ajinkya Gorakhnath Kale

Trung Huu Bui

Carl Dockhorn

Sasha Spala

Nicholas Miller

Yu Gong

Tushar Dublish

Techniques and systems are described for performing semantic text searches. A semantic text-searching solution uses a machine learning system (such as a deep learning system) to determine associations between the semantic meanings of words. These associations are not limited by the spelling, syntax, grammar, or even definition of words. Instead, the associations can be based on the context in which characters, words, and/or phrases are used in relation to one another. In response to detecting a request to locate text within an electronic document associated with a keyword, the semantic text-searching solution can return strings within the document that have matching and/or related semantic meanings or contexts, in addition to exact matches (e.g., string matches) within the document. The semantic text-searching solution can then output an indication of the matching strings.

Model-based semantic text searching

Growing community of inventors

Dublin, CA, United States of America

Joon Kim