Montreal, Canada

Olivier Nguyen

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Olivier Nguyen: Innovator in Text Processing Technologies

Introduction

Olivier Nguyen is a notable inventor based in Montreal, Canada. He has made significant contributions to the field of text processing and machine learning, holding 2 patents that showcase his innovative approaches to handling textual data.

Latest Patents

Nguyen's latest patents include a "Method for filtering and semi-automatically labeling training data." This method efficiently provides sentiments or other manual labels for textual training data by utilizing an embedding model to project user text into an embedding vector. The process involves determining distances between this vector and those of already-labeled training examples, allowing for prospective labeling and user approval.

Another significant patent is the "2D document extractor," which is designed to extract entities from structured documents. This invention employs a combination of convolutional neural networks (CNNs) and a recurrent neural network (RNN) to encode and decode text sequences and structural elements, ultimately extracting relevant text entities based on their semantic and spatial characteristics.

Career Highlights

Olivier has worked with prominent companies such as ServiceNow Canada Inc. and ServiceNow, Inc. His experience in these organizations has allowed him to refine his skills in developing advanced technologies for text processing.

Collaborations

Throughout his career, Olivier has collaborated with talented individuals, including Archy De Berker and Eniola Alese. These partnerships have contributed to his innovative projects and advancements in the field.

Conclusion

Olivier Nguyen stands out as an influential inventor in the realm of text processing technologies. His patents reflect a commitment to enhancing the efficiency and accuracy of machine learning applications.

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