Lexington, MA, United States of America

Benson Margulies


Average Co-Inventor Count = 1.3

ph-index = 2

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2008-2009

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2 patents (USPTO):Explore Patents

Title: The Innovations of Benson Margulies

Introduction

Benson Margulies is a notable inventor based in Lexington, MA, who has made significant contributions to the field of natural language processing. With a total of two patents to his name, Margulies has developed innovative systems that enhance the way machines understand and process human language.

Latest Patents

Margulies' latest patents include a "Linguistic Processing Platform, Architecture and Methods." This invention describes a system and method for natural language processing that utilizes a blackboard data structure to provide a shared knowledge repository. A collection of natural language agents can execute processes on the processable data form, with each agent capable of offering processing resources to serve requests for executing natural language processes. The system also includes a dispatcher that coordinates the work of registered agents, maintaining a high-level description of tasks to solve natural language engineering problems. Another significant patent is for "Methods and Systems for Language Boundary Detection," which discloses techniques for detecting boundaries between areas of different languages within a body of text.

Career Highlights

Benson Margulies is currently employed at Basis Technology Corporation, where he continues to innovate in the field of language processing. His work has been instrumental in advancing the capabilities of natural language understanding technologies.

Collaborations

Margulies collaborates with Thomas Emerson, a fellow innovator in the field, to further enhance the development of their projects and patents.

Conclusion

Benson Margulies stands out as a key figure in the realm of natural language processing, with his patents reflecting a deep understanding of linguistic technologies. His contributions continue to shape the future of how machines interact with human language.

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