Company Filing History:

15 out of 32,429

Google Inc.

Years Active: 2011-2025

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18 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 12189691 - Natural language question answering systems (2025-01-07),

2. 11790006 - Natural language question answering systems (2023-10-17),

3. 11157564 - Natural language question answering systems (2021-10-26),

4. 10496652 - Methods and apparatus for ranking documents (2019-12-03),

5. 9607087 - Providing answer boxes based on query results (2017-03-28),

6. 9477714 - Methods and apparatus for ranking documents (2016-10-25),

7. 9183311 - Ordering of search results based on language and/or country of the search results (2015-11-10),

8. 9146967 - Multi-stage query processing system and method for use with tokenspace repository (2015-09-29),

9. 9031898 - Presentation of search results based on document structure (2015-05-12),

10. 8990210 - Propagating information among web pages (2015-03-24),

11. 8843479 - Methods and apparatus for ranking documents (2014-09-23),

12. 8606745 - Using game responses to gather data (2013-12-10),

13. 8521717 - Propagating information among web pages (2013-08-27),

14. 8407239 - Multi-stage query processing system and method for use with tokenspace repository (2013-03-26),

15. 8306972 - Ordering of search results based on language and/or country of the search results (2012-11-06),

Title: The Innovative Contributions of Amitabh Singhal

Introduction: Amitabh Singhal, based in Palo Alto, California, is an accomplished inventor recognized for his significant contributions to the field of natural language processing (NLP) and database querying technologies. With a portfolio of 18 patents, his work continues to influence advancements in technology and information retrieval systems.

Latest Patents: Singhal's recent innovations focus on natural language question answering systems. One of his latest patents describes a method for identifying a current set of context features related to a database query associated with a string. By selecting an inference record from an inference store, the database query is modified to create an inferred database query that enhances the effectiveness of information searches. Another patent details a search interface for a database that employs natural language processing to derive a sequence of tokens from user-entered string data, allowing for the generation of database queries informed by user feedback. This iterative process aims to refine searches, resulting in more relevant outputs presented within the user interface.

Career Highlights: Amitabh Singhal has held prominent positions at major technology firms, notably Google Inc. and Thoughtspot, Inc. His expertise in NLP and databases has led to innovative solutions that enhance user interaction with data-driven applications.

Collaborations: During his career, Singhal has collaborated with notable engineers and researchers, including Paul Haahr and Benedict A Gomes. These collaborations have significantly contributed to the development of advanced technologies in the realm of data and user engagement.

Conclusion: Amitabh Singhal's work exemplifies the intersection of technological innovation and practical application. His patents in natural language question answering systems underscore his commitment to improving how users interact with databases and retrieve information. As he continues to innovate, his contributions will undoubtedly pave the way for future advancements in the field.

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1 patent pending (EPO):

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