Abstract: A system and method for providing an easy-to-use interface for verifying semantic tags in a steering application in order to generate a natural language grammar. The method includes obtaining user responses to open-ended steering questions, automatically grouping the user responses into groups based on their semantic meaning, and automatically assigning preliminary semantic tags to each of the groups. The user interface enables the user to validate the content of the groups to ensure that all responses within a group have the same semantic meaning and to add or edit semantic tags associated with the groups. The system and method may be applied to interactive voice response (IVR) systems, as well as customer service systems that can communicate with a user via a text or written interface.

Abstract: A method and an apparatus to disambiguate requests are presented. In one embodiment, the method includes receiving a request for information from a user. Then data is retrieved from a back-end database in response to the request. Based on a predetermined configuration of a disambiguation system and the data retrieved, the ambiguity within the request is dynamically resolved.

Abstract: A system and method for providing an easy-to-use interface for verifying semantic tags in a steering application in order to generate a natural language grammar. The method includes obtaining user responses to open-ended steering questions, automatically grouping the user responses into groups based on their semantic meaning, and automatically assigning preliminary semantic tags to each of the groups. The user interface enables the user to validate the content of the groups to ensure that all responses within a group have the same semantic meaning and to add or edit semantic tags associated with the groups. The system and method may be applied to interactive voice response (IVR) systems, as well as customer service systems that can communicate with a user via a text or written interface.

Abstract: A system and method for providing an easy-to-use interface for verifying semantic tags in a steering application in order to generate a natural language grammar. The method includes obtaining user responses to open-ended steering questions, automatically grouping the user responses into groups based on their semantic meaning, and automatically assigning preliminary semantic tags to each of the groups. The user interface enables the user to validate the content of the groups to ensure that all responses within a group have the same semantic meaning and to add or edit semantic tags associated with the groups. The system and method may be applied to interactive voice response (IVR) systems, as well as customer service systems that can communicate with a user via a text or written interface.

Abstract: A system and method enable a designer to design an application using a design tool, deploy the application for execution, and subsequently view statistics related to the execution within the design tool. The designer uses the design tool to create an application flow for the application, and the design tool then generates software code for such application. In generating software code, the design tool inserts markers in the application code that demarks the boundaries between nodes in the application flow. When the application is executed, a log is created in accordance with the markers such that data is logged for nodes traversed during the execution of the application. Using the logged data, statistics are calculated for one or more of the nodes. These statistics are provided to the design tool and, in the preferred embodiment, displayed in conjunction with the application flow in the user interface of the design tool.

Abstract: An interactive user interface is described for setting confidence score thresholds in a language processing system. There is a display of a first system confidence score curve characterizing system recognition performance associated with a high confidence threshold, a first user control for adjusting the high confidence threshold and an associated visual display highlighting a point on the first system confidence score curve representing the selected high confidence threshold, a display of a second system confidence score curve characterizing system recognition performance associated with a low confidence threshold, and a second user control for adjusting the low confidence threshold and an associated visual display highlighting a point on the second system confidence score curve representing the selected low confidence threshold. The operation of the second user control is constrained to require that the low confidence threshold must be less than or equal to the high confidence threshold.

Abstract: An interactive user interface is described for setting confidence score thresholds in a language processing system. There is a display of a first system confidence score curve characterizing system recognition performance associated with a high confidence threshold, a first user control for adjusting the high confidence threshold and an associated visual display highlighting a point on the first system confidence score curve representing the selected high confidence threshold, a display of a second system confidence score curve characterizing system recognition performance associated with a low confidence threshold, and a second user control for adjusting the low confidence threshold and an associated visual display highlighting a point on the second system confidence score curve representing the selected low confidence threshold. The operation of the second user control is constrained to require that the low confidence threshold must be less than or equal to the high confidence threshold.

Abstract: A method and an apparatus to disambiguate requests are presented. In one embodiment, the method includes receiving a request for information from a user. Then data is retrieved from a back-end database in response to the request. Based on a predetermined configuration of a disambiguation system and the data retrieved, the ambiguity within the request is dynamically resolved.

Abstract: A method and an apparatus to disambiguate requests are presented. In one embodiment, the method includes receiving a request for information from a user. Then data is retrieved from a back-end database in response to the request. Based on a predetermined configuration of a disambiguation system and the data retrieved, the ambiguity within the request is dynamically resolved.

Abstract: A method and an apparatus to disambiguate requests are presented. In one embodiment, the method includes receiving a request for information from a user. Then data is retrieved from a back-end database in response to the request. Based on a predetermined configuration of a disambiguation system and the data retrieved, the ambiguity within the request is dynamically resolved.