Abstract: The invention concerns a system and method of predicting problematic dialogs in an automated dialog system based on the user's input communications. The method may include determining whether a probability of conducting a successful dialog with the user exceeds a first threshold. The successful dialog may be defined as a dialog exchange between an automated dialog system and the user that results in at least one of processing of the user's input communication and routing the user's input communication. The method may further operate such that if the first threshold is exceeded, further dialog is conducted with the user. Otherwise, the user may be directed to a human for assistance. In another possible embodiment, the method operates as above except that if the probability exceeds a second threshold, the second threshold being higher than the first, then further dialog is conducted with the user using the current dialog strategy.

Abstract: The invention concerns a system and method of predicting problematic dialogs in an automated dialog system based on the user's input communications. The method may include determining whether a probability of conducting a successful dialog with the user exceeds a first threshold. The successful dialog may be defined as a dialog exchange between an automated dialog system and the user that results in at least one of processing of the user's input communication and routing the user's input communication. The method may further operate such that if the first threshold is exceeded, further dialog is conducted with the user. Otherwise, the user may be directed to a human for assistance.

Abstract: The invention concerns a system and method of predicting problematic dialogs in a task classification system based on the user's input communications. The method may include determining whether a task classification decision can be made based on a first automated dialog exchange with the user. As such, if the task classification decision cannot be made, the method may determine whether the probability of conducting a successful automated dialog with the user based on whether the first dialog exchange exceeds a first threshold. The successful dialog may be defined as a dialog exchange between an automated dialog system and the user that results in at least one of processing of the user's input communication and routing the user's input communication. The method may further operate such that if the first threshold is exceeded, further dialog is conducted with the user. Otherwise, the user may be directed to a human for assistance.

Abstract: Techniques for integrating rules into imperative object-oriented languages such as C++. C++ is extended to permit definition of rules as members of classes. When a rule is defined as a member of a class, a preprocessor receives the declaration of the rule's class and of any other class involved in the rule and generates additional data members and member functions for the classes. The additional members of the classes permit a complete implementation of the rule. No additional rule interpreter or decision network is required. The rule definition defines collections of objects linked by interobject pointers to which the rule applies. A rule is evaluated only if there is a change in a value mentioned in the rule in an object belonging to a collection of objects for the rule. The rule's condition is a sequence of bindings and tests. The bindings define a path through a collections of objects to which the rule applies, and the path is followed during evaluation. The rules thus implement access-limited logic.