This inventor holds 1 USPTO granted patent. Top assignee: Ernst & Young U.s.llp. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Ryan David Gleeson and Domain-Specific Natural Language Processing
Introduction
Ryan David Gleeson is an inventor based in Los Angeles, California. His patent work addresses how natural language processing systems can assess whether text matches an intended meaning across different content categories.
Latest Patents
Gleeson is associated with 1 patent: “Methods and Apparatus for Creating Domain-Specific Intended-Meaning Natural Language Processing Pipelines.” The invention describes a method for organizing input texts into content categories according to their relationship to a shared intended meaning. It then evaluates multiple models by calculating average similarity or dissimilarity scores for each category. A model can be selected based on those scores to determine whether a new input text aligns with the intended meaning.
Career Highlights
Gleeson works at Ernst & Young U.S. LLP. His patent reflects an approach to comparing language models and selecting one suited to evaluating meaning within specific content categories.
Collaborations
Gleeson’s listed coworker is Adam Polak. The available information identifies their professional connection but does not specify their roles in developing the patent.
Conclusion
Ryan David Gleeson’s patent focuses on selecting natural language processing models that can evaluate text against an intended meaning across domain-specific categories.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile