Daejeon, South Korea

Yeon Seonwoo


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Yeon Seonwoo: Innovator in Virtual Knowledge Graphs

Introduction

Yeon Seonwoo is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of text processing and information retrieval. His innovative work focuses on enhancing document retrieval systems through advanced techniques.

Latest Patents

Yeon Seonwoo holds a patent titled "Virtual knowledge graph construction for zero-shot domain-specific document retrieval." This patent describes systems and methods for text processing. The invention involves receiving a query that comprises a natural language expression, extracting mentions from the query, and generating a relation vector between pairs of mentions using a relation encoder network. The relation encoder network is trained through a contrastive learning process, where mention pairs from the same document are labeled as positive samples, while those from different documents are labeled as negative samples. The method combines the mentions with the relation vector to create a virtual knowledge graph of the query. It then identifies a corresponding document by comparing the virtual knowledge graph of the query to that of the document and transmits a response that includes a reference to the document.

Career Highlights

Yeon Seonwoo is currently employed at Adobe Inc., where he continues to develop innovative solutions in the realm of document retrieval and text processing. His work at Adobe has allowed him to apply his expertise in practical applications that benefit users and organizations alike.

Collaborations

Yeon Seonwoo collaborates with talented individuals such as Seunghyun Yoon and Trung Huu Bui. These collaborations enhance the creative process and lead to the development of cutting-edge technologies.

Conclusion

Yeon Seonwoo is a notable inventor whose work in virtual knowledge graphs and document retrieval systems is paving the way for advancements in text processing. His contributions are significant in the field and continue to influence the industry.

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