Cairo, Egypt

Abubakrelsedik Alsebai Karali

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abubakrelsedik Alsebai Karali. Retrieved from https://idiyas.com/inventor/abubakrelsedik-alsebai-karali

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Abubakrelsedik Alsebai Karali: Innovator in Named Entity Recognition

Introduction

Abubakrelsedik Alsebai Karali is a notable inventor based in Cairo, Egypt. He has made significant contributions to the field of named entity recognition, a crucial area in natural language processing. His work has implications for various applications, including information retrieval and text augmentation.

Latest Patents

Abubakrelsedik holds a patent for a system related to named entity recognition. This patent describes methods to detect instances of named entities on web pages and classify them into predefined categories, such as organizations. The system utilizes labeled training sentences in multiple languages to train machine learning components, enhancing the accuracy and efficiency of the recognition process.

Career Highlights

Abubakrelsedik is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of technology. His expertise in machine learning and natural language processing has positioned him as a valuable asset in his organization.

Collaborations

He has collaborated with notable colleagues, including Ahmed Said Morsy and Rania Ibrahim, contributing to various projects that advance the understanding and application of named entity recognition.

Conclusion

Abubakrelsedik Alsebai Karali's work in named entity recognition exemplifies the impact of innovative thinking in technology. His contributions are paving the way for advancements in how machines understand and process human language.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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