Patents by Inventor Swarup Reddi

Swarup Reddi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Natural language query processing
    Patent number: 7917497
    Abstract: An enhanced natural language information retrieval technique tokenizes an incoming query, comparing the tokenized representation against a collection of query templates. Query templates include a first portion having one or more query patterns representative of a query and in a form suitable for matching the tokenized representation of an incoming query. Query templates also include one or more information retrieval commands that are designed to return information relevant to those query patterns in its first portion. The enhanced natural language information retrieval technique selects those query templates that are determined to be most relevant to the incoming query (via its tokenized representation) and initiates one or more information retrieval commands associated with the selected query templates.
    Type: Grant
    Filed: April 18, 2008
    Date of Patent: March 29, 2011
    Assignee: IAC Search & Media, Inc.
    Inventors: Tom Harrison, Michael E. Barrett, Swarup Reddi, John Lowe, Gary Chevsky
  • NATURAL LANGUAGE QUERY PROCESSING
    Publication number: 20080263019
    Abstract: An enhanced natural language information retrieval technique tokenizes an incoming query, comparing the tokenized representation against a collection of query templates. Query templates include a first portion having one or more query patterns representative of a query and in a form suitable for matching the tokenized representation of an incoming query. Query templates also include one or more information retrieval commands that are designed to return information relevant to those query patterns in its first portion. The enhanced natural language information retrieval technique selects those query templates that are determined to be most relevant to the incoming query (via its tokenized representation) and initiates one or more information retrieval commands associated with the selected query templates.
    Type: Application
    Filed: April 18, 2008
    Publication date: October 23, 2008
    Applicant: IAC Search & Media, Inc.
    Inventors: Tom Harrison, Michael E. Barrett, Swarup Reddi, John Lowe, Gary Chevsky
  • Natural language query processing
    Patent number: 7403938
    Abstract: An enhanced natural language information retrieval technique tokenizes an incoming query, comparing the tokenized representation against a collection of query templates. Query templates include a first portion having one or more query patterns representative of a query and in a form suitable for matching the tokenized representation of an incoming query. Query templates also include one or more information retrieval commands that are designed to return information relevant to those query patterns in its first portion. The enhanced natural language information retrieval technique selects those query templates that are determined to be most relevant to the incoming query (via its tokenized representation) and initiates one or more information retrieval commands associated with the selected query templates.
    Type: Grant
    Filed: September 20, 2002
    Date of Patent: July 22, 2008
    Assignee: IAC Search & Media, Inc.
    Inventors: Tom Harrison, Michael E. Barrett, Swarup Reddi, John Lowe, Gary Chevsky
  • Natural language query processing
    Publication number: 20030069880
    Abstract: An enhanced natural language information retrieval technique tokenizes an incoming query, comparing the tokenized representation against a collection of query templates. Query templates include a first portion having one or more query patterns representative of a query and in a form suitable for matching the tokenized representation of an incoming query. Query templates also include one or more information retrieval commands that are designed to return information relevant to those query patterns in its first portion. The enhanced natural language information retrieval technique selects those query templates that are determined to be most relevant to the incoming query (via its tokenized representation) and initiates one or more information retrieval commands associated with the selected query templates.
    Type: Application
    Filed: September 20, 2002
    Publication date: April 10, 2003
    Applicant: Ask Jeeves, Inc.
    Inventors: Tom Harrison, Michael E. Barrett, Swarup Reddi, John Lowe, Gary Chevsky