An apparatus to make a certain volume of liquid available for atomization comprises a container adapted to hold a liquid, and a piston pump. The piston pump comprises a piston member and a valve body, with the piston member being slidable within the valve body. Further, the valve body functions with the piston member to define a metering chamber. In this way, the metering chamber is adapted to be filled with liquid from the container when the piston member is moved to a filling position, and the piston pump is adapted to dispense a known volume of the liquid from the metering chamber when the piston member is moved to a dispensing position.
System And Method For Management Of Call Data Using A Vector Based Model And Relational Data Structure
Cheng Wu - Mount Kisco NY, US Andrzej Sakrajda - White Plains NY, US Vaibhava Goel - Elmsford NY, US David Lubensky - Brookfield CT, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
H04M 11/06
US Classification:
379 8813, 379 85, 706 62, 709219, 714 32
Abstract:
A system and method for representing call content in a searchable database includes transcribing call content to text. The call content is projected to vector space, by creating a vector by indexing the call based on the content and determining a similarity of the call to an atomic-class dictionary. The call is classified in a relational database in accordance with the vector.
Natural Language System And Method Based On Unisolated Performance Metric
Sabine Deligne - New York NY, US Yuqing Gao - Mount Kisco NY, US Vaibhava Goel - Elmsford NY, US Cheng Wu - Mount Kisco NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G10L 15/00
US Classification:
704243, 704246, 704251, 704255, 7042565, 704257
Abstract:
A natural language business system and method is developed to understand the underlying meaning of a person's speech, such as during a transaction with the business system. The system includes a speech recognition engine, and action classification engine, and a control module. The control module causes the system to execute an inventive method wherein the speech recognition and action classification models may be recursively optimized on an unisolated performance metric that is pertinent to the overall performance of the natural language business system, as opposed to the isolated model-specific criteria previously employed.
System And Method For Management Of Call Data Using A Vector Based Model And Relational Data Structure
Cheng Wu - Mount Kisco NY, US Andrzej Sakrajda - White Plains NY, US Vaibhava Goel - Elmsford NY, US David Lubensky - Brookfield CT, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
H04M 11/00
US Classification:
379 8813, 379 85, 706 62, 709219, 704250, 704255
Abstract:
A system and method for representing call content in a searchable database includes transcribing call content to text. The call content is projected to vector space, by creating a vector by indexing the call based on the content and determining a similarity of the call to an atomic-class dictionary. The call is classified in a relational database in accordance with the vector.
Natural Language System And Method Based On Unisolated Performance Metric
Sabine Deligne - New York NY, US Yuqing Gao - Mount Kisco NY, US Vaibhava Goel - Elmsford NY, US Cheng Wu - Mount Kisco NY, US
Assignee:
Nuance Communications, Inc. - Burlington MA
International Classification:
G10L 15/00
US Classification:
704257, 704246, 704247, 704251, 704252
Abstract:
A natural language business system and method is developed to understand the underlying meaning of a person's speech, such as during a transaction with the business system. The system includes a speech recognition engine, and action classification engine, and a control module. The control module causes the system to execute an inventive method wherein the speech recognition and action classification models may be recursively optimized on an unisolated performance metric that is pertinent to the overall performance of the natural language business system, as opposed to the isolated model-specific criteria previously employed.
Method And Apparatus For Detecting Data Anomalies In Statistical Natural Language Applications
Yuqing Gao - Mount Kisco NY, US Roberto Pieraccini - Peekskill NY, US Jerome Quinn - North Salem NY, US Cheng Wu - Mount Kisco NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/28
US Classification:
704005000
Abstract:
Techniques for detecting data anomalies in a natural language understanding (NLU) system are provided. A number of categorized sentences, categorized into a number of categories, are obtained. Sentences within a given one of the categories are clustered into a number of sub clusters, and the sub clusters are analyzed to identify data anomalies. The clustering can be based on surface forms of the sentences. The anomalies can be, for example, ambiguities or inconsistencies. The clustering can be performed, for example, with a K-means clustering algorithm.
Apparatus And Method For Addressing Computer-Related Problems
Juan Huerta - Bronx NY, US David Lubensky - Brookfield CT, US Cheng Wu - Mount Kisco NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 15/16
US Classification:
709217000
Abstract:
Techniques are provided for addressing a problem pertaining to a computer of a user. In an exemplary method, the obtaining of a problem statement associated with the problem pertaining to the computer of the user is facilitated. This can be carried out via speech over a telephony connection. The establishment of a remote access connection between the computer of the user and a remote help desk application can also be facilitated. Furthermore, substantially parallel interaction with the user can be facilitated, via both the telephony connection and the remote access connection to the remote help desk application.
Juan M. Huerta - Pleasantville NY, US Cheng Wu - Mount Kisco NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 17/28
US Classification:
704 7
Abstract:
A method, system, and computer readable storage medium including a computer readable program are provided. The method includes storing a set of sentences in a memory device. The method further includes receiving an input translated phrase and searching the set of sentences for a subset of sentences closest to the input translated phrase based on a set of respective distances to the sentences in the set with respect to the input translated phrase. The method also includes calculating and outputting a language model score for the subset of sentences based on a function of a subset of respective distances pertaining to the subset of sentences.
Sep 2010 to 2000 Program Engineering ManagerSantur Corporation Fremont, CA Dec 2008 to Sep 2010 Program Engineering ManagerAtmel Corporation San Jose, CA Jan 1986 to Dec 2008 Globe Operation Management (January 1986 December 2008)Atmel Corporation
Jan 1986 to Dec 2008 Technology R&D ManagerAtmel Corporation
Jan 1986 to Dec 2008 Global Foundry Business ManagerAtmel Corporation
Jan 2006 to Dec 2007 Asia Marketing/Sales ManagerMonolithic Memories Inc Santa Clara, CA Jan 1984 to Jan 1986 Process Engineering SupervisorAdvanced Micro Devices Inc Sunnyvale, CA Nov 1980 to Jan 1984 Senior Process Development Engineer
Education:
Northwestern University Evanston, IL 1980 MS in Materials Science and EngineeringNational Tsing Hua University 1976 BS in Materials Science and Engineering