Seattle, WA, United States of America

Arshit Gupta

USPTO Granted Patents = 3 

Average Co-Inventor Count = 7.7

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: Arshit Gupta: Innovator in Natural Language Processing

Introduction

Arshit Gupta is a prominent inventor based in Seattle, WA, known for his contributions to the field of natural language processing. With a total of 3 patents, he has made significant strides in developing innovative technologies that enhance machine understanding of human language.

Latest Patents

One of Gupta's latest patents is titled "Composite slot type for natural language processing." This invention describes a natural language processing system that can create composite parameter types to improve performance in executing intended actions. The system determines a plurality of sub-parameters based on user requests and generates Boolean expressions to facilitate the intended action.

Another notable patent is "Contextual natural language understanding for conversational agents." This framework incorporates contextual signals of varying history lengths to perform joint intent classification and slot labeling tasks. By analyzing user utterances within multi-turn chat dialogs, the system utilizes machine learning models to generate accurate predictions for intent classification and slot labeling.

Career Highlights

Arshit Gupta is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of natural language processing technology. His work has been instrumental in developing systems that improve user interactions with conversational agents.

Collaborations

Gupta collaborates with talented individuals such as Peng Zhang and Roger Scott Jenke, contributing to a dynamic team focused on advancing technology in the field of artificial intelligence.

Conclusion

Arshit Gupta's innovative work in natural language processing showcases his commitment to enhancing machine understanding of human language. His patents reflect a deep understanding of the complexities involved in human communication and the potential for technology to bridge that gap.

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