Guolong Su

Title: Guolong Su - Innovator in Document Entity Extraction

Introduction

Guolong Su is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of document entity extraction through his innovative patent. His work focuses on utilizing machine-learned models to enhance the efficiency and accuracy of data extraction from documents.

Latest Patents

Guolong Su holds a patent titled "Document entity extraction using machine-learned models." This patent describes systems and methods for performing document entity extraction. The method includes receiving an inference document and a target schema, generating document inputs and schema inputs, and obtaining extraction inputs based on combinations of these inputs. The process involves providing these inputs to a machine-learned model and validating the extracted entity data based on reference and inference spatial locations.

Career Highlights

Guolong Su is currently employed at Google Inc., where he applies his expertise in machine learning and data extraction. His innovative approach has positioned him as a valuable asset in the tech industry, particularly in enhancing document processing capabilities.

Collaborations

Some of Guolong Su's coworkers include Carl Elie Saroufim and Kai Kang. Their collaborative efforts contribute to the advancement of technology in their respective fields.

Conclusion

Guolong Su's work in document entity extraction showcases his innovative spirit and dedication to improving data processing methods. His contributions are paving the way for more efficient systems in the tech industry.