Carl Elie Saroufim

Title: Carl Elie Saroufim - Innovator in Document Entity Extraction

Introduction

Carl Elie Saroufim is an inventor based in San Francisco, CA (US). He is known for his contributions to the field of document entity extraction using machine-learned models. Although he currently holds no granted patents, his innovative ideas are reflected in his patent applications.

Latest Patent Applications

Carl Elie Saroufim's notable patent application is titled "Document Entity Extraction Using Machine-Learned Models." This application describes systems and methods for performing document entity extraction. The method includes receiving an inference document and a target schema. It also involves generating one or more document inputs from the inference document and one or more schema inputs from the target schema. For each combination of the document input and schema input, the method obtains one or more extraction inputs by generating a respective extraction input based on the combination. The respective extraction input is then provided to the machine-learned model, which produces an output based on the extraction. Additionally, the method validates the extracted entity data based on reference spatial locations and inference spatial locations, ultimately outputting the validated extracted entity data.

Conclusion

Carl Elie Saroufim is an innovative inventor whose work in document entity extraction showcases the potential of machine learning in processing information. His contributions, although not yet reflected in granted patents, highlight the importance of research and development in this evolving field.