Patents by Inventor Narasimha Edala

Narasimha Edala 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).

  • Patent number: 9141728
    Abstract: Methods and systems are provided for creating an adaptive thesaurus. A term pair including an index term and an expansion term is received. A recall gain, an expansion independence, and a semantic similarity of the term pair are calculated using a processor. Whether to store the term pair is determined based on the recall gain, the expansion independence, and the semantic similarity. The term pair is stored based on the determination. Methods and systems are provided for searching using an adaptive thesaurus. A search query including a query term is received. An expansion term stored in association with an index term matching the query term in the adaptive thesaurus is retrieved. Using a processor, the search query is expanded using the expansion term based on a recall gain, an expansion independence, and a semantic similarity.
    Type: Grant
    Filed: May 17, 2013
    Date of Patent: September 22, 2015
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Donald Loritz, Shian-jung Chen, Narasimha Edala, Harry Silver
  • Patent number: 8818999
    Abstract: A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving, from a database over a network, a document resulting from a search on a database, the document containing terms that match the search criteria. The method may calculate a standard deviation of a probability distribution function representing a distribution of the terms in the document that match the search criteria. The method may further determine relative distances between the terms in the document that match the search criteria according to the standard deviation. The method may further calculate a proximity boost value using the relative distances, and apply the proximity boost value to a base relevancy score of the document to determine a relevancy ranking. The document may then be ranked according to the relevancy ranking.
    Type: Grant
    Filed: April 10, 2012
    Date of Patent: August 26, 2014
    Inventors: Narasimha Edala, Donald Loritz
  • Publication number: 20130254220
    Abstract: Methods and systems are provided for creating an adaptive thesaurus. A term pair including an index term and an expansion term is received. A recall gain, an expansion independence, and a semantic similarity of the term pair are calculated using a processor. Whether to store the term pair is determined based on the recall gain, the expansion independence, and the semantic similarity. The term pair is stored based on the determination. Methods and systems are provided for searching using an adaptive thesaurus. A search query including a query term is received. An expansion term stored in association with an index term matching the query term in the adaptive thesaurus is retrieved. Using a processor, the search query is expanded using the expansion term based on a recall gain, an expansion independence, and a semantic similarity.
    Type: Application
    Filed: May 17, 2013
    Publication date: September 26, 2013
    Applicant: LEXISNEXIS
    Inventors: Donald LORITZ, Shian-jung CHEN, Narasimha EDALA, Harry SILVER
  • Patent number: 8478749
    Abstract: A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving search results identifying a plurality of documents resulting from a search, the plurality of documents containing one or more words. The method generates a first matrix containing a term column and a document column, wherein at least one row of the first matrix correlates one of the plurality of documents with one of the terms. The method selects a sort preference, and sorts the two-column matrix according to the sort preference. The method further generates a second matrix containing values representing a measure of overlap between the plurality of documents and the terms. The method further calculates cumulative confidence scores according to the values of the second matrix and ranks the search results according to the cumulative confidence scores.
    Type: Grant
    Filed: July 20, 2009
    Date of Patent: July 2, 2013
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Narasimha Edala, Donald Loritz, David James Miller
  • Patent number: 8463806
    Abstract: Methods and systems are provided for creating an adaptive thesaurus. A term pair including an index term and an expansion term is received. A recall gain, an expansion independence, and a semantic similarity of the term pair are calculated using a processor. Whether to store the term pair is determined based on the recall gain, the expansion independence, and the semantic similarity. The term pair is stored based on the determination. Methods and systems are provided for searching using an adaptive thesaurus. A search query including a query term is received. An expansion term stored in association with an index term matching the query term in the adaptive thesaurus is retrieved. Using a processor, the search query is expanded using the expansion term based on a recall gain, an expansion independence, and a semantic similarity.
    Type: Grant
    Filed: January 30, 2009
    Date of Patent: June 11, 2013
    Assignee: LexisNexis
    Inventors: Donald Loritz, Shian-jung Chen, Narasimha Edala, Harry Silver
  • Publication number: 20120197879
    Abstract: A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving, from a database over a network, a document resulting from a search on a database, the document containing terms that match the search criteria. The method may calculate a standard deviation of a probability distribution function representing a distribution of the terms in the document that match the search criteria. The method may further determine relative distances between the terms in the document that match the search criteria according to the standard deviation. The method may further calculate a proximity boost value using the relative distances, and apply the proximity boost value to a base relevancy score of the document to determine a relevancy ranking. The document may then be ranked according to the relevancy ranking.
    Type: Application
    Filed: April 10, 2012
    Publication date: August 2, 2012
    Inventors: Narasimha EDALA, Donald LORITZ
  • Patent number: 8176044
    Abstract: A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving, from a database over a network, a document resulting from a search on a database, the document containing terms that match the search criteria. The method may calculate a standard deviation of a probability distribution function representing a distribution of the terms in the document that match the search criteria. The method may further determine relative distances between the terms in the document that match the search criteria according to the standard deviation. The method may further calculate a proximity boost value using the relative distances, and apply the proximity boost value to a base relevancy score of the document to determine a relevancy ranking. The document may then be ranked according to the relevancy ranking.
    Type: Grant
    Filed: July 20, 2009
    Date of Patent: May 8, 2012
    Assignee: LexisNexis
    Inventors: Narasimha Edala, Donald Loritz
  • Publication number: 20110016117
    Abstract: A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving, from a database over a network, a document resulting from a search on a database, the document containing terms that match the search criteria. The method may calculate a standard deviation of a probability distribution function representing a distribution of the terms in the document that match the search criteria. The method may further determine relative distances between the terms in the document that match the search criteria according to the standard deviation. The method may further calculate a proximity boost value using the relative distances, and apply the proximity boost value to a base relevancy score of the document to determine a relevancy ranking. The document may then be ranked according to the relevancy ranking.
    Type: Application
    Filed: July 20, 2009
    Publication date: January 20, 2011
    Inventors: Narasimha EDALA, Donald Loritz
  • Publication number: 20110016118
    Abstract: A method and apparatus are provided for ranking documents according to relevancy scoring. In one implementation, a computer-implemented method is provided for receiving search results identifying a plurality of documents resulting from a search, the plurality of documents containing one or more words. The method generates a first matrix containing a term column and a document column, wherein at least one row of the first matrix correlates one of the plurality of documents with one of the terms. The method selects a sort preference, and sorts the two-column matrix according to the sort preference. The method further generates a second matrix containing values representing a measure of overlap between the plurality of documents and the terms. The method further calculates cumulative confidence scores according to the values of the second matrix and ranks the search results according to the cumulative confidence scores.
    Type: Application
    Filed: July 20, 2009
    Publication date: January 20, 2011
    Inventors: Narasimha EDALA, Donald Loritz, David James Miller
  • Publication number: 20100198821
    Abstract: Methods and systems are provided for creating an adaptive thesaurus. A term pair including an index term and an expansion term is received. A recall gain, an expansion independence, and a semantic similarity of the term pair are calculated using a processor. Whether to store the term pair is determined based on the recall gain, the expansion independence, and the semantic similarity. The term pair is stored based on the determination. Methods and systems are provided for searching using an adaptive thesaurus. A search query including a query term is received. An expansion term stored in association with an index term matching the query term in the adaptive thesaurus is retrieved. Using a processor, the search query is expanded using the expansion term based on a recall gain, an expansion independence, and a semantic similarity.
    Type: Application
    Filed: January 30, 2009
    Publication date: August 5, 2010
    Inventors: Donald LORITZ, Shian-jung CHEN, Narasimha EDALA, Harry SILVER