Seattle, WA, United States of America

Jin Hock Ong

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Amazon Technologies, Inc.. Active years: 2022.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Jin Hock Ong: Innovator in Natural Language Processing

Introduction

Jin Hock Ong is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of natural language processing, particularly in the area of error handling during the processing of natural language inputs. His innovative work has implications for improving user interactions with technology.

Latest Patents

Jin Hock Ong holds 1 patent for his invention titled "Alternate natural language input generation." This patent describes techniques for handling errors during the processing of natural language inputs. The system he developed can process a natural language input to generate an Automatic Speech Recognition (ASR) hypothesis or a Natural Language Understanding (NLU) hypothesis. It employs multiple data searching techniques, such as deep neural network searching and convolutional neural network searching, to generate alternate hypotheses based on the type of input.

Career Highlights

Jin Hock Ong is currently employed at Amazon Technologies, Inc., where he continues to work on advancing technologies related to natural language processing. His expertise in this area has positioned him as a valuable asset to his team and the company.

Collaborations

Jin has collaborated with talented individuals such as Chenlei Guo and Xing Fan. Their combined efforts contribute to the innovative projects at Amazon Technologies, Inc.

Conclusion

Jin Hock Ong's work in natural language processing exemplifies the importance of innovation in technology. His contributions are paving the way for more effective communication between humans and machines.

Profile summary based on public USPTO records.
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