Burlingame, CA, United States of America

Chris O'Neill

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2023

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Chris O'Neill: Innovator in Data Extraction Technologies

Introduction

Chris O'Neill is a notable inventor based in Burlingame, CA (US). He has made significant contributions to the field of data extraction, particularly in recognizing unstructured information. With a total of 2 patents, O'Neill's work focuses on enhancing the way computers interpret handwritten and audio notes.

Latest Patents

O'Neill's latest patents revolve around the extraction of structured data from unstructured sources. One of his key applications is directed at recognizing unstructured information based on hints provided by structured information. In this innovative approach, a computer system collects unstructured information from handwritten or audio sources and identifies various terms within that information. The system addresses ambiguity by performing recognition operations on terms that may be unclear, deriving a list of candidate terms. By utilizing contextual information from an associated information template, the system selects the most appropriate answer term, effectively recognizing the ambiguous term.

Career Highlights

Chris O'Neill is currently employed at Evernote Corporation, where he continues to develop and refine his innovative ideas. His work at Evernote has positioned him as a key player in the tech industry, particularly in the realm of note-taking and information management.

Collaborations

O'Neill collaborates with talented individuals such as Andrew Henderson Malcolm and Alexander Pashintsev. These partnerships enhance the creative process and contribute to the development of groundbreaking technologies.

Conclusion

In summary, Chris O'Neill is a distinguished inventor whose work in data extraction technologies is paving the way for more efficient information processing. His contributions are significant in the ongoing evolution of how we interact with unstructured data.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…