Stephen A Lawrence

US Patent:

6738780, May 18, 2004

Filed:

May 16, 2001

Appl. No.:

09/859031

Inventors:

Stephen R. Lawrence - New York NY
Kurt D. Bollacker - Austin TX
C. Lee Giles - Lawrenceville NJ

Assignee:

NEC Laboratories America, Inc. - Princeton NJ

International Classification:

G06F 1700

US Classification:

707101, 707 2, 707 3, 707 5, 707 7, 707102

Abstract:

An autonomous citation indexing system which can be used as an assistant agent automates and enhances the task of finding publications in electronic form, including publications located on the world wide web. The system parses citations from papers and identifies citations to the same paper that may differ in syntax. The system also extracts and provides the context of citations to a given paper, allowing a researcher to determine what is published in other papers about a given paper. Common citations and word or string vector distance similarity are used to find related articles in a search.

US Patent:

6999959, Feb 14, 2006

Filed:

Jul 10, 1998

Appl. No.:

09/113751

Inventors:

Stephen R. Lawrence - New York NY, US
C. Lee Giles - Lawrenceville NJ, US

Assignee:

NEC Laboratories America, Inc. - Princeton NJ

International Classification:

G06F 17/30

US Classification:

707 5, 707 3, 707 4, 707 10

Abstract:

A computer implemented meta search engine and search method. In accordance with this method, a query is forwarded to one or more third party search engines, and the responses from the third party search engine or engines are parsed in order to extract information regarding the documents matching the query. The full text of the documents matching the query are downloaded, and the query terms in the documents are located. The text surrounding the query terms are extracted, and that text is displayed.

US Patent:

7165024, Jan 16, 2007

Filed:

Jul 31, 2002

Appl. No.:

10/209594

Inventors:

Eric J. Glover - North Brunswick NJ, US
Stephen R. Lawrence - New York NY, US
David M. Pennock - Monroe Township NJ, US

Assignee:

NEC Laboratories America, Inc. - Princeton NJ

International Classification:

G06F 17/27

US Classification:

704 9

Abstract:

A method automatically determines groups of words or phrases that are descriptive names of a small set of documents, as well as infers concepts in the small set of documents that are more general and more specific than the descriptive names, without any prior knowledge of the hierarchy or the concepts, in a language independent manner. The descriptive names and the concepts may not even be explicitly contained in the documents. The primary application of the invention is for searching of the World Wide Web, but the invention is not limited solely to use with the World Wide Web and may be applied to any set of documents. Classes of features are identified in order to promote understanding of a set of documents. Preferably, there are three classes of features. “Self” features or terms describe the cluster as a whole.

US Patent:

7295977, Nov 13, 2007

Filed:

Aug 27, 2001

Appl. No.:

09/939954

Inventors:

Brian Whitman - New York NY, US
Gary W. Flake - Lawrenceville NJ, US
Stephen R. Lawrence - New York NY, US

Assignee:

NEC Laboratories America, Inc. - Princeton NJ

International Classification:

G10L 15/16
G10H 7/10

US Classification:

704236, 704232, 84616

Abstract:

The method of the present invention utilizes machine-learning techniques, particularly Support Vector Machines in combination with a neural network, to process a unique machine-learning enabled representation of the audio bitstream. Using this method, a classifying machine is able to autonomously detect characteristics of a piece of music, such as the artist or genre, and classify it accordingly. The method includes transforming digital time-domain representation of music into a frequency-domain representation, then dividing that frequency data into time slices, and compressing it into frequency bands to form multiple learning representations of each song. The learning representations that result are processed by a group of Support Vector Machines, then by a neural network, both previously trained to distinguish among a given set of characteristics, to determine the classification.

US Patent:

7333976, Feb 19, 2008

Filed:

Mar 31, 2004

Appl. No.:

10/813838

Inventors:

David Benjamin Auerbach - Brooklyn NY, US
Stephen R. Lawrence - Mountain View CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G08F 7/00

US Classification:

707 3, 707 4

Abstract:

Systems and methods for processing contact information are described. In one embodiment, an entity name is identified from an event associated with an article, wherein the entity name is associated with an entity and the event is associated with a user, contact information associated with the entity name is identified, the entity name and at least some of the contact information is indexed, and the entity name and at least some of the contact information is stored.

US Patent:

7693827, Apr 6, 2010

Filed:

Jul 13, 2004

Appl. No.:

10/890854

Inventors:

Oren Eli Zamir - Nyack NY, US
Jeffrey L. Korn - New York NY, US
Andrew B. Fikes - Los Altos CA, US
Stephen R. Lawrence - Mountain View CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707 3, 707 4, 707 5, 707 7

Abstract:

A system and method for using a user profile to order placed content in search results returned by a search engine. The user profile is based on search queries submitted by a user, the user's specific interaction with the documents identified by the search engine and personal information provided by the user. Placed content is ranked by a score based at least in part on a similarity of a particular placed content to the user's profile. User profiles can be created and/or stored on the client side or server side of a client-server network environment.

US Patent:

8099407, Jan 17, 2012

Filed:

Mar 31, 2004

Appl. No.:

10/813895

Inventors:

David Benjamin Auerbach - Brooklyn NY, US
Stephen R. Lawrence - Mountain View CA, US
David Marmaros - Mountain View CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707709, 707740, 709224

Abstract:

Systems and methods for processing media files are described. In one embodiment, one or more events are captured having associated event data and associated with a client device, wherein each event is associated with an article and at least one of the articles is a media file, wherein at least one of the events is captured in real time upon the occurrence of the event, at least some of the event data and articles associated with the events are indexed and stored, a search query is received, and the at least one media file is determined as relevant to the search query.

US Patent:

8275839, Sep 25, 2012

Filed:

Mar 31, 2004

Appl. No.:

10/814999

Inventors:

David Benjamin Auerbach - Brooklyn NY, US
Omar Habib Khan - Toronto, CA
Stephen R. Lawrence - Mountain View CA, US
Mihai Florin Ionescu - Mountain View CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 15/16

US Classification:

709206, 709202, 709203, 707102

Abstract:

Systems and methods for processing email messages are described. In one embodiment, the occurrence of a condition is determined indicating at least one email message transfer of an email message by an email application, wherein determining the occurrence of the condition is external to the email application, the email message is identified, wherein the email message comprises event data, an email event is compiled from at least some of the event data, and the email event is indexed.