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For the Inventor, By the Inventor

Woodbridge, VA, United States of America

Michael Drzewucki

This inventor holds 24 USPTO granted patents and 8 published patent applications, primarily in Natural Language Processing. Top assignee: International Business Machines Corporation. Active years: 2017-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Drzewucki. Retrieved from https://idiyas.com/inventor/michael-drzewucki

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

USPTO Granted Patents = 24 

% Patents Active = 50.0

Average Co-Inventor Count = 4.5

ph-index = 2

Forward Citations = 22(Granted Patents)


Location History:

  • Chantilly, VA (US) (2017 - 2020)
  • Woodbridge, VA (US) (2018 - 2024)

Company Filing History:

goldMedal24 out of 166,351 
 
International Business Machines Corporation
 patents

Years Active: 2017-2024

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Areas of Expertise:
Sentiment Analysis
Entity Disambiguation
Document Retrieval
Chatbots
Knowledge Base
Timeline Generation
Information Density
NLP Techniques
Dynamic Filtering
Data Structuring
Text Parsing
Alias Extraction
24 patents (USPTO):Explore Patents
1. 12045243 - Ranking entity search results based on information density (2024-07-23),
2. 11755633 - Entity search system (2023-09-12),
3. 11682387 - Digital sentiment signature generation (2023-06-20),
4. 11556718 - Altering messaging using sentiment analysis (2023-01-17),
5. 11514095 - Tiered retrieval of secured documents (2022-11-29),
6. 11443101 - Flexible pseudo-parsing of dense semi-structured text (2022-09-13),
7. 11397857 - Methods and systems for managing chatbots with respect to rare entities (2022-07-26),
8. 11361229 - Post-processor for factoid answer conversions into structured relations in a knowledge base (2022-06-14),
9. 11275777 - Methods and systems for generating timelines for entities (2022-03-15),
10. 11226972 - Ranking collections of document passages associated with an entity name by relevance to a query (2022-01-18),
11. 11170010 - Methods and systems for iterative alias extraction (2021-11-09),
12. 11144337 - Implementing interface for rapid ground truth binning (2021-10-12),
13. 11132358 - Candidate name generation (2021-09-28),
14. 10936819 - Query-directed discovery and alignment of collections of document passages for improving named entity disambiguation precision (2021-03-02),
15. 10872205 - Process for identifying completion of domain adaptation dictionary activities (2020-12-22),

As a specialist in innovations, inventions, inventors, patent attorneys, assignees, and patents, I can share information about the inventor Michael Drzewucki based on the provided data.

Title: The Inventive Mind of Michael Drzewucki

Introduction: Michael Drzewucki, a prolific inventor based in Woodbridge, VA, has made significant contributions to the field of technology with his innovative patents.

Latest Patents:

1. Entity Search System: Drzewucki's patent involves a sophisticated computer system that utilizes natural language processing to search for entities within a corpus of documents based on non-name identifiers.

2. Digital Sentiment Signature Generation: Another groundbreaking patent by Drzewucki focuses on generating digital sentiment signatures to characterize the end of a communication, enabling effective communication across various channels.

Career Highlights: With an impressive portfolio of 23 patents, Michael Drzewucki has demonstrated his expertise in developing cutting-edge technological solutions. He is currently affiliated with the renowned International Business Machines Corporation (IBM).

Collaborations: Drzewucki has worked closely with accomplished colleagues such as Charles Evan Beller and Christopher Phipps, showcasing his ability to collaborate and innovate within a team setting.

Conclusion: Michael Drzewucki stands out as a talented inventor who continues to push the boundaries of technology with his inventive solutions. His patents reflect his commitment to revolutionizing the tech industry and enhancing communication processes.

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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