Valley Springs, CA, United States of America

Jack Porter

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jack Porter: Innovator in Nested Named Entity Recognition

Introduction

Jack Porter is a notable inventor based in Valley Springs, CA (US). He has made significant contributions to the field of natural language processing, particularly in the area of named entity recognition (NER). His innovative approach focuses on improving the identification and classification of nested named entities within documents.

Latest Patents

Jack Porter holds a patent for his invention titled "Nested Named Entity Recognition." This patent addresses the challenges associated with identifying and classifying named entities that are contained within other named entities. The invention utilizes the CapsNet architecture to enhance the accuracy of nested NER. By deriving features from input text, the system effectively identifies and classifies named entities while also performing clustering to group them. The CapsNet model considers the context of the entire text, activating higher capsule layers to improve the identification and classification process. This invention has the potential to enhance other NER models, making it a valuable contribution to the field.

Career Highlights

Throughout his career, Jack Porter has demonstrated a commitment to advancing technology in natural language processing. His work on nested named entity recognition showcases his innovative thinking and technical expertise. With a focus on improving the efficiency and accuracy of NER systems, he has positioned himself as a key player in this domain.

Collaborations

Jack has collaborated with talented individuals such as Suzanne M Kirch and Rajiv Baronia. These partnerships have allowed him to leverage diverse perspectives and expertise, further enhancing the impact of his work.

Conclusion

In summary, Jack Porter is an influential inventor whose work in nested named entity recognition has the potential to transform the field of natural language processing. His innovative approach and dedication to improving technology make him a noteworthy figure in the industry.

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