This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Inferlink Corporation. Active years: 2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018
Title: Matthew Michelson: Innovator in Textual Information Extraction
Introduction
Matthew Michelson is a notable inventor based in La Cañada Flintridge, California. He has made significant contributions to the field of textual information extraction, showcasing his expertise through his innovative patent.
Latest Patents
Michelson holds a patent for "Textual information extraction, parsing, and inferential analysis." This patent describes systems and methods for extracting content from a corpus of textual information. The method involves identifying various types of content that correspond to segments of an inference scheme. The inference scheme organizes these segments to create a comprehensive summation of the textual information. By assembling inferred statements using the extracted content, Michelson's invention enhances the understanding and analysis of textual data.
Career Highlights
Matthew Michelson is associated with Inferlink Corporation, where he applies his skills in developing advanced information extraction technologies. His work at Inferlink has positioned him as a key player in the innovation of parsing and inferential analysis systems.
Collaborations
Michelson collaborates with Steven Minton, contributing to the advancement of their projects and enhancing the capabilities of their technologies.
Conclusion
Matthew Michelson's contributions to textual information extraction demonstrate his innovative spirit and commitment to advancing technology in this field. His patent reflects a significant step forward in the analysis of textual data, showcasing his role as a leading inventor.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile