Austin, TX, United States of America

Joshua David Koppelman

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 1999.


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 401(Granted Patents)


Company Filing History:


Years Active: 1999

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1 patent (USPTO):Explore Patents

Title: The Innovations of Joshua David Koppelman

Introduction

Joshua David Koppelman is an accomplished inventor based in Austin, TX. He is known for his significant contributions to the field of natural language processing. His innovative approach combines statistical methods with language understanding, paving the way for advancements in artificial intelligence.

Latest Patents

Koppelman holds a patent titled "Statistical natural language understanding using hidden clumpings." This invention proposes using statistical methods to achieve natural language understanding. The key notion is that there are 'strings' of words in natural language that correspond to a single semantic concept. By defining an alignment between an entire semantic meaning, which consists of a set of semantic concepts, and the English language, Koppelman has created a model that can be utilized in various applications. This model is represented using P(E,A.vertline.S), allowing for separate modeling of p(S) and enabling the use of different statistical models for each parameter. He has 1 patent to his name.

Career Highlights

Koppelman is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop innovative solutions in the realm of technology and artificial intelligence.

Collaborations

Throughout his career, Koppelman has collaborated with notable individuals in the field, including Stephen A Della Pietra and Mark Edward Epstein. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Joshua David Koppelman is a prominent figure in the field of natural language processing, with a focus on statistical methods for language understanding. His contributions continue to influence the development of artificial intelligence technologies.

Profile summary based on public USPTO records.
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