San Francisco, CA, United States of America

Tyler J Schnoebelen

USPTO Granted Patents = 10 

 

Average Co-Inventor Count = 8.3

ph-index = 4

Forward Citations = 69(Granted Patents)


Company Filing History:


Years Active: 2012-2023

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10 patents (USPTO):Explore Patents

Title: Innovations of Tyler J Schnoebelen: A Pioneer in Natural Language Processing

Introduction

Tyler J Schnoebelen, based in San Francisco, California, is a notable inventor recognized for his contributions to the field of natural language processing (NLP). With an impressive portfolio of ten patents, Schnoebelen has developed innovative methods and systems that enhance the automation and accuracy of information classification.

Latest Patents

Among Schnoebelen's recent patents are innovative technologies designed to improve taxonomies and document classification using natural language understanding. One such patent, titled "Methods and systems for modeling complex taxonomies with natural language understanding," presents a sophisticated method for the automatic placement of rules within a logical hierarchy while processing natural language. The process involves navigating relationships between child nodes and parent nodes to enhance classification accuracy. Additionally, his patent on "Graphical systems and methods for human-in-the-loop machine intelligence" outlines a framework for creating interfaces that foster collaboration among annotators to validate classifications suggested by a natural language modeling engine. This patent emphasizes the importance of human intervention in refining machine intelligence through a structured annotation process.

Career Highlights

Throughout his career, Tyler has held roles in leading tech companies, including Microsoft Technology Licensing, LLC and 100.co, LLC, where he has collaborated on cutting-edge projects. His work focuses on advancing the boundaries of machine learning and NLP, making considerable impacts in these rapidly evolving fields.

Collaborations

Tyler Schnoebelen has had the privilege of working alongside esteemed colleagues, such as Robert J Munro and Jason Brenier. Their collaborations have undoubtedly contributed to the refinement and success of Schnoebelen's inventions, reinforcing the value of teamwork in technological advancements.

Conclusion

Tyler J Schnoebelen exemplifies the spirit of innovation in the realm of natural language processing. Through his patents and collaborative efforts, he continues to pave the way for advancements that will shape the future of automated document classification and intelligent systems. His dedication to enhancing machine comprehension not only exemplifies his ingenuity as an inventor but also his commitment to pushing the limits of what technology can achieve.

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