Leon T Wong

US Patent:

7548847, Jun 16, 2009

Filed:

May 10, 2002

Appl. No.:

10/142623

Inventors:

Alejandro Acero - Bellevue WA, US
Leon Wong - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/28
G10L 15/00
G10L 15/18

US Classification:

704 9, 704 1, 704257

Abstract:

The present invention uses a natural language understanding system that is currently being trained to assist in annotating training data for training that natural language understanding system. Unannotated training data is provided to the system and the system proposes annotations to the training data. The user is offered an opportunity to confirm or correct the proposed annotations, and the system is trained with the corrected or verified annotations.

US Patent:

7983901, Jul 19, 2011

Filed:

May 6, 2009

Appl. No.:

12/436387

Inventors:

Alejandro Acero - Bellevue WA, US
Leon Wong - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/27

US Classification:

704 9

Abstract:

The present invention uses a natural language understanding system that is currently being trained to assist in annotating training data for training that natural language understanding system. Unannotated training data is provided to the system and the system proposes annotations to the training data. The user is offered an opportunity to confirm or correct the proposed annotations, and the system is trained with the corrected or verified annotations.

US Patent:

8335683, Dec 18, 2012

Filed:

Jan 23, 2003

Appl. No.:

10/350199

Inventors:

Alejandro Acero - Bellevue WA, US
Ciprian Chelba - Palo Alto CA, US
Leon Wong - Redmond WA, US
Brendan Frey - Mississauga, CA

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/27

US Classification:

704 9, 704246, 704255, 704275

Abstract:

The present invention involves using one or more statistical classifiers in order to perform task classification on natural language inputs. In another embodiment, the statistical classifiers can be used in conjunction with a rule-based classifier to perform task classification.

US Patent:

20020178230, Nov 28, 2002

Filed:

Jul 2, 2002

Appl. No.:

10/189096

Inventors:

Sudhanshu Aggarwal - Bellevue WA, US
Peter Beebee - Redmond WA, US
Rajeev Surati - Seattle WA, US
Leon Wong - Redmond WA, US
Martin Calsyn - Carnation WA, US

International Classification:

G06F015/16
G06F015/173

US Classification:

709/206000, 709/238000

Abstract:

Systems and methods for transmitting messages, such as real-time messages, from an entity outside a firewall to a recipient inside the firewall. The messages include the address of a bridgehead server exposed through the firewall and information identifying the recipient client. The network protected by the firewall can include one or more bridgehead servers, one or more messaging servers associated with each bridgehead server, and one or more clients assigned to each messaging server. When a bridgehead server receives a message, it resolves the address of the messaging server to which the recipient client is assigned. The message is forwarded to the messaging server and, in turn, to the recipient client. The sender of the message does not need to know the identity or address of the messaging server. Moreover, the sender, who may reside outside the firewall, does not need direct access to the messaging servers protected by the firewall in order to establish real-time communication with users inside the firewall. Thus, the messaging systems are compatible with conventional network security measures employed by many organizations. The messaging systems can be used by clients to monitor the online status of other clients or to receive notification of properties associated with other clients.

US Patent:

20040148170, Jul 29, 2004

Filed:

May 30, 2003

Appl. No.:

10/449708

Inventors:

Alejandro Acero - Bellevue WA, US
Ciprian Chelba - Seattle WA, US
YeYi Wang - Redmond WA, US
Leon Wong - Redmond WA, US
Ravi Shahani - Redmond WA, US
Michael Calcagno - Kirkland WA, US
Domenic Cipollone - Redmond WA, US
Curtis Huttenhower - Pittsburgh PA, US

International Classification:

G10L015/18

US Classification:

704/257000

Abstract:

The present invention involves using one or more statistical classifiers in order to perform task classification on natural language inputs. In another embodiment, the statistical classifiers can be used in conjunction with a rule-based classifier to perform task classification. In one application, a statistical classifier is used in order ascertain if an input is a search query or a natural-language input.

US Patent:

20050086302, Apr 21, 2005

Filed:

Oct 27, 2004

Appl. No.:

10/974500

Inventors:

Sudhanshu Aggarwal - Bellevue WA, US
Peter Beebee - Action MA, US
Leon Wong - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F015/16

US Classification:

709204000

Abstract:

Methods and systems are described for controlling access to presence information using a plurality of different access permission types. Presence information is maintained over a computer network and describes availability of computers and associated users over that network. For example, instant messaging applications often involve maintaining presence information. Users control access to presence information using a number of different access permission types such as the right to view accurate presence information, the right to view any presence information, or the right to act on accessed presence information. By using several different access permission types, the present invention enables finer control over access to presence information.

US Patent:

20050114676, May 26, 2005

Filed:

Oct 27, 2004

Appl. No.:

10/974185

Inventors:

Sudhanshu Aggarwal - Bellevue WA, US
Peter Beebee - Acton MA, US
Leon Wong - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

H04K001/00

US Classification:

713182000

Abstract:

Methods and systems are described for controlling access to presence information using a plurality of different access permission types. Presence information is maintained over a computer network and describes availability of computers and associated users over that network. For example, instant messaging applications often involve maintaining presence information. Users control access to presence information using a number of different access permission types such as the right to view accurate presence information, the right to view any presence information, or the right to act on accessed presence information. By using several different access permission types, the present invention enables finer control over access to presence information.

US Patent:

20060195440, Aug 31, 2006

Filed:

Dec 5, 2005

Appl. No.:

11/294269

Inventors:

Christopher Burges - Bellevue WA, US
Irina Matveeva - Chicago IL, US
Leon Wong - Redmond WA, US
Andrew Laucius - Seattle WA, US
Timo Burkard - Seattle WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 17/30

US Classification:

707005000

Abstract:

A unique system and method that facilitates improving the ranking of items is provided. The system and method involve re-ranking decreasing subsets of high ranked items in separate stages. In particular, a basic ranking component can rank a set of items. A subset of the top or high ranking items can be taken and used as a new training set to train a component for improving the ranking among these high ranked documents. This process can be repeated on an arbitrary number of successive high ranked subsets. Thus, high ranked items can be reordered in separate stages by focusing on the higher ranked items to facilitate placing the most relevant items at the top of a search results list.