Chester Curme

Title: Chester Curme: Innovator in Information Extraction

Introduction

Chester Curme is a notable inventor based in Boston, MA (US), recognized for his contributions to the field of information extraction. With a total of 2 patents, Curme has developed innovative methods that enhance the processing of unstructured text documents.

Latest Patents

Curme's latest patents include "Information extraction for unstructured text documents" and "Schema-informed extraction for unstructured data." The first patent outlines a method for training and using a machine learning model to extract structured text from unstructured documents. This process involves receiving user-defined keys of interest and processing documents to classify text accordingly. The model is continuously improved through user feedback, ensuring high accuracy in text classification. The second patent focuses on extracting data from documents based on a predefined schema. It involves parsing documents into a machine-readable format and identifying data items according to the schema, allowing for precise data extraction.

Career Highlights

Chester Curme is currently employed at S&P Global, Inc., where he applies his expertise in machine learning and data extraction. His work significantly contributes to the company's capabilities in handling large volumes of unstructured data.

Collaborations

Curme collaborates with talented coworkers, including Baojia Tong and Delphine Vendryes, who share his commitment to advancing technology in data processing.

Conclusion

Chester Curme's innovative work in information extraction demonstrates his significant impact on the field. His patents reflect a deep understanding of machine learning and data management, positioning him as a key figure in the industry.