Halfweg, Netherlands

Georgios Tsatsaronis


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Georgios Tsatsaronis: Innovator in Funding Information Extraction

Introduction

Georgios Tsatsaronis is a notable inventor based in Halfweg, Netherlands. He has made significant contributions to the field of natural language processing and machine learning, particularly in the extraction of funding information from text documents. His innovative approach has the potential to streamline the way funding information is identified and utilized.

Latest Patents

Tsatsaronis holds a patent titled "Systems and methods for extracting funder information from text." This patent describes a method that includes receiving a text document, extracting paragraphs using a natural language processing model or a machine learning model, and classifying these paragraphs as containing funding information or not. The method further involves labeling potential entities within the classified paragraphs using different named-entity recognition models. This innovative approach enhances the accuracy and efficiency of extracting funding information.

Career Highlights

Georgios Tsatsaronis is currently employed at Elsevier, Inc., where he applies his expertise in machine learning and natural language processing. His work focuses on developing systems that improve the extraction and classification of information, which is crucial for various applications in research and funding.

Collaborations

Throughout his career, Tsatsaronis has collaborated with talented individuals such as Michelle Gregory and Subhradeep Kayal. These collaborations have contributed to the advancement of his projects and the successful implementation of innovative solutions in the field.

Conclusion

Georgios Tsatsaronis is a pioneering inventor whose work in extracting funding information from text documents showcases the intersection of technology and research. His contributions are valuable to the ongoing development of natural language processing and machine learning applications.

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