Dublin, CA, United States of America

Michael A Menarguez

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Michael A Menarguez: Innovator in Natural Language Processing

Introduction

Michael A Menarguez is an accomplished inventor based in Dublin, California. He has made significant contributions to the field of natural language processing, particularly through his innovative patent that enhances the way search engines interpret user queries.

Latest Patents

Menarguez holds a patent for "Enhanced Natural Language Query Segment Tagging." This patent describes computer-implemented techniques for improved tagging of natural language queries that are initially segmented and tagged by a named entity recognition system. The enhanced tagging provides a deeper understanding of the query, which in turn improves the operation of search engines. By utilizing these enhanced tags, search engines can identify and return more relevant search results in response to natural language queries. He has 1 patent to his name.

Career Highlights

Michael A Menarguez is currently employed at Microsoft Technology Licensing, LLC, where he continues to work on advancing technologies in the field of natural language processing. His expertise and innovative approach have positioned him as a valuable asset in his organization.

Collaborations

Throughout his career, Menarguez has collaborated with notable colleagues, including Xiaohai Zhang and Haifeng Zhao. These partnerships have contributed to the development of cutting-edge technologies and have fostered a collaborative environment for innovation.

Conclusion

Michael A Menarguez is a prominent figure in the realm of natural language processing, with a focus on enhancing search engine capabilities through innovative tagging techniques. His work continues to influence the way technology interacts with human language, paving the way for more effective communication between users and machines.

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