Sunnyvale, CA, United States of America

Nicholas L Cassimatis


Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2018-2021

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6 patents (USPTO):Explore Patents

Title: Innovations of Nicholas L Cassimatis

Introduction

Nicholas L Cassimatis is a prominent inventor based in Sunnyvale, CA. He has made significant contributions to the field of natural language processing (NLP) with a total of 6 patents to his name. His work focuses on developing systems and methods that enhance the efficiency and accuracy of domain classification in NLP.

Latest Patents

One of his latest patents is titled "Hybrid classifier for assigning natural language processing (NLP) inputs to domains in real-time." This invention discloses systems and methods for domain classification in NLP based on a hierarchical ontology and semantic construction. The method involves generating a trigram corpus for classification, which allows for real-time parsing and classification of input strings based on their relevancy to specific domains. Another notable patent is "Real-time parsing and suggestions from pre-generated corpus with hypernyms." This invention outlines methods for NLP in environments lacking existing corpora, defining input grammars specific to chosen domains and creating a data structure for efficient processing.

Career Highlights

Throughout his career, Nicholas has worked with notable companies such as Oath Inc. and Verizon Media Inc. His experience in these organizations has contributed to his expertise in developing innovative solutions in the tech industry.

Collaborations

Nicholas has collaborated with talented individuals such as Jonathan R Scally and Naveen Sundar Govindarajulu. These collaborations have further enriched his work and led to advancements in the field of NLP.

Conclusion

Nicholas L Cassimatis is a distinguished inventor whose work in natural language processing has paved the way for innovative solutions in domain classification. His contributions continue to influence the field and inspire future advancements.

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