1. A method for a computer apparatus for automatically generating a customer interaction log for an interaction between a customer and agent at a contact center comprising the steps of: receiving input comprising at least one spoken utterance from said customer and said agent and processing said received input to generate a call transcript; automatically analyzing said received input comprising analyzing at least said call transcript and, based on results of the analyzing, selecting at least a portion of the received input to generate a customer interaction log using at least one model; displaying said generated customer interaction log for agent review at a graphical user interface of an agent computer; receiving agent feedback to the displayed generated customer interaction log at said graphical user interface; and automatically updating said customer interaction log and said at least one model based on said agent feedback.
1. A method for a computer apparatus for automatically generating a customer interaction log for an interaction between a customer and agent at a contact center comprising the steps of: receiving input comprising at least one spoken utterance from said customer and said agent and processing said received input to generate a call transcript; automatically analyzing said received input comprising analyzing at least said call transcript and, based on results of the analyzing, selecting at least a portion of the received input to generate a customer interaction log using at least one model; displaying said generated customer interaction log for agent review at a graphical user interface of an agent computer; receiving agent feedback to the displayed generated customer interaction log at said graphical user interface; and automatically updating said customer interaction log and said at least one model based on said agent feedback. 8. The method of claim 1 wherein automatically updating said at least one model comprises at least one of: decreasing the salience of a rule which generated an utterance deleted by the agent; increasing the salience of a rule which generated an utterance inserted by the agent; finding a most similar utterance in the received input to a newly created utterance; and increasing salience of a rule which generated the most similar utterance.