Mountain View, CA, United States of America

April L Webster

USPTO Granted Patents = 6 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • San Jose, CA (US) (2016)
  • Mountain View, CA (US) (2017 - 2021)

Company Filing History:


Years Active: 2016-2021

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: April L Webster: Innovator in Data Analysis and Entity Recognition

Introduction

April L Webster is a prominent inventor based in Mountain View, CA (US). She has made significant contributions to the fields of data analysis and entity recognition, holding a total of 6 patents. Her work focuses on optimizing data processes and enhancing the accuracy of entity recognition systems.

Latest Patents

Among her latest patents is the "Stream based named entity recognition," which relates to performing entity recognition on a stream while providing ongoing training or supplementation of an entity dictionary. This invention involves receiving a first portion of textual input, applying a plurality of patterns to determine the presence of a predetermined type, and supplementing a dictionary based on approval indications. Another notable patent is the "Optimal analytic workflow," which discloses a method and system for optimizing data analysis. This invention defines optimization goals, applies subsets of analytics to data, and calculates an optimal subset based on recorded performance values.

Career Highlights

April L Webster is currently employed at International Business Machines Corporation (IBM), where she continues to innovate and develop new technologies. Her work has had a profound impact on the efficiency and effectiveness of data analysis processes.

Collaborations

She has collaborated with notable coworkers, including Varun Bhagwan and Daniel Gruhl, contributing to various projects that enhance the capabilities of their team.

Conclusion

April L Webster's contributions to data analysis and entity recognition exemplify her innovative spirit and dedication to advancing technology. Her patents reflect her expertise and commitment to improving data processes in significant ways.

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