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Stephane Herman Maes, Chalapathy Venkata Neti: System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input. International Business Machines Corporation, November 8, 2005: US06964023 (356 worldwide citation)

Systems and methods are provided for performing focus detection, referential ambiguity resolution and mood classification in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment for one or more users.


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Maes Stephane H, Neti Chalapathy V: System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input. Ibm, November 5, 2003: EP1358650-A1

This is a method provided for performing focus detection, ambiguity resolution and mood classification (815) in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment (418, 422) for one or more users (812).


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Stephane Herman Maes, Chalapathy Venkata Neti: System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input. International Business Machines Corporation, Ryan Mason & Lewis, September 26, 2002: US20020135618-A1

Systems and methods are provided for performing focus detection, referential ambiguity resolution and mood classification in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment for one or more users.


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Maes Stephane H, Neti Chalapathy V: System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input. International Business Machines Corporation, OTTERSTEDT Paul J, August 15, 2002: WO/2002/063599

This is a method provided for performing focus detection, ambiguity resolution and mood classification (815) in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment (418, 422) for one or more users (812).


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Stephane H Maes, Chalapathy V Neti: System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input. Ibm, li deshan, May 5, 2004: CN02805565

This is a method provided for performing focus detection, ambiguity resolution and mood classification (815) in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment (418, 422) for one or more users (812).


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Maes Stephane H, Neti Chalapathy V: System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input. International Business Machines Corporation, September 29, 2003: KR1020037010176

This is a method provided for performing focus detection, ambiguity resolution and mood classification (815) in accordance with multi-modal input data, in varying operating conditions, in order to provide an effective conversational computing environment (418, 422) for one or more users (812).


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