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For the Inventor, By the Inventor

Cambridge, United Kingdom

William Tunstall-Pedoe

USPTO Granted Patents = 21 

Average Co-Inventor Count = 1.7

ph-index = 16

Forward Citations = 1,689(Granted Patents)


Company Filing History:

goldMedal15 out of 22,541 
 
Amazon Technologies, Inc.
 patents
silverMedal3 out of 3 
 
Evi Technologies Limited
 patents
bronzeMedal2 out of 2 
 
True Knowledge Limited
 patents
4. 1 out of 1 
 
Semscript Ltd.
 patent

Years Active: 2006-2021

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21 patents (USPTO):Explore Patents
1. 11182381 - Local business and product search system and method (2021-11-23),
2. 11132610 - Extracting structured knowledge from unstructured text (2021-09-28),
3. 10380708 - Natural language based content analysis (2019-08-13),
4. 9805089 - Local business and product search system and method (2017-10-31),
5. 9659052 - Data object resolver (2017-05-23),
6. 9646260 - Using existing relationships in a knowledge base to identify types of knowledge for addition to the knowledge base (2017-05-09),
7. 9582757 - Scalable curation system (2017-02-28),
8. 9548053 - Audible command filtering (2017-01-17),
9. 9519681 - Enhanced knowledge repository (2016-12-13),
10. 9466294 - Dialog management system (2016-10-11),
11. 9436681 - Natural language translation techniques (2016-09-06),
12. 9286910 - System for resolving ambiguous queries based on user context (2016-03-15),
13. 9110882 - Extracting structured knowledge from unstructured text (2015-08-18),
14. 9098492 - Knowledge repository (2015-08-04),
15. 8838659 - Enhanced knowledge repository (2014-09-16),

Title: The Innovative Contributions of William Tunstall-Pedoe

Introduction: William Tunstall-Pedoe, hailing from Cambridge, GB, is a distinguished inventor with a remarkable portfolio of 21 patents. His work has significantly impacted the fields of technology and artificial intelligence, showcasing his innovative spirit and dedication to problem-solving.

Latest Patents: Among Tunstall-Pedoe's latest contributions are two notable patents. The first, titled "Local business and product search system and method," describes computer-implemented systems enabling customers to search for products and receive a list of retail locations likely to offer those products, without requiring specific information about inventory. His second patent, "Extracting structured knowledge from unstructured text," relates to knowledge representation systems that encode meaning in a structured, machine-readable format. This invention includes techniques for extracting structured knowledge from unstructured text and assessing the reliability of the extracted knowledge.

Career Highlights: Tunstall-Pedoe has had a prominent career with significant roles at renowned companies such as Amazon Technologies, Inc. and Evi Technologies Limited. His work at these innovative companies has allowed him to develop and refine technologies that bridge information gaps and enhance user experiences.

Collaborations: Throughout his career, William has collaborated with notable professionals, including Petra Elisabeth Holmes and David Spike Palfrey. These partnerships have fostered an environment of shared ideas and innovative thinking, contributing to the successful development of his numerous patents.

Conclusion: William Tunstall-Pedoe's inventive prowess is showcased through his extensive patent portfolio and impactful contributions to technology. His ongoing commitment to innovation continues to shape the landscape of product search and knowledge representation, making him a pivotal figure in the field.

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