Introduction: Patrick Ng is an accomplished inventor based in Jersey City, NJ, with a remarkable portfolio comprising eight patents. His contributions to the field of natural language processing have positioned him as a significant player in the tech industry, particularly through his work at Amazon Technologies, Inc.

Latest Patents: Among Patrick's latest patents are groundbreaking techniques for natural language query processing. One patent outlines methods that include an entity recognition phase, wherein entities are identified, and subsequent relations between those entities are determined. This innovation also incorporates an entity linker to connect candidates to columns and/or an intent representation generator to effectively parse multiple values and column pairs within a natural language query. Another patent similarly focuses on handling natural language queries using a sequence-to-sequence model, with post-processing that draws on fine-grained information from an entity linker. These advancements represent a significant leap in enhancing the efficiency and accuracy of natural language processing technologies.

Career Highlights: Throughout his career, Patrick has made impactful strides at Amazon Technologies, Inc., where he has honed his skills in developing cutting-edge technologies that enhance user interaction with machines. His innovative approaches to natural language processing have not only improved query handling procedures but have also contributed to the overall advancement of AI-driven applications.

Collaborations: Collaboration is integral to innovation, and Patrick has worked alongside talented colleagues, including Zhiguo Wang and Bing Xiang. These partnerships have fostered a creative environment, leading to the development of transformative technologies that benefit users and the industry alike.

Conclusion: Patrick Ng's advancements in natural language processing highlight the importance of innovation in today's tech landscape. With a commendable number of patents and a career marked by collaboration and creativity, he continues to shape the future of how machines understand and process human language. His work not only exemplifies his brilliance as an inventor but also sets a benchmark for others in the field.

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