Santa Clara, CA, United States of America

Nakul Chakrapani


Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • San Jose, CA (US) (2020)
  • Santa Clara, CA (US) (2022)

Company Filing History:


Years Active: 2020-2022

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Nakul Chakrapani: Innovator in Text Annotation and Adverse Event Detection

Introduction

Nakul Chakrapani is a notable inventor based in Santa Clara, California. He has made significant contributions to the fields of text annotation and machine learning. With two patents to his name, Nakul is recognized for his innovative approaches to processing narrative text and identifying adverse events in unstructured data.

Latest Patents

Nakul's latest patents include "Encoding-assisted annotation of narrative text" and "Cognitive framework to detect adverse events in free-form text." The first patent focuses on constructing a standardized text string from metadata of narrative text. It involves marking an anchor term and testing the correspondence between encodings using a Natural Language Processing engine. The second patent describes a method for extracting feature values from unstructured electronic text to identify and annotate portions corresponding to adverse events using a machine learning model.

Career Highlights

Nakul Chakrapani is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore advanced technologies and contribute to innovative solutions in text processing and machine learning.

Collaborations

Some of Nakul's coworkers include Sheng Hua Bao and Meenakshi Nagarajan. Their collaboration fosters a creative environment that enhances the development of cutting-edge technologies.

Conclusion

Nakul Chakrapani's work exemplifies the intersection of technology and innovation in text processing. His contributions are paving the way for advancements in how we understand and utilize narrative text and unstructured data.

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