An automated response system (e.g., an automated voice response system)
may employ learning strategies to develop or improve automated response
capabilities. Learning strategies may include using communications(e.g.,
utterances, text messages, etc.) of one party in a conversation (e.g., a
customer service agent) to identify and categorize communications of
another party in the conversation (e.g., a caller). Classifiers can be
build from the categorized communications. Classifiers can be used to
identify common communications patterns of a party in a conversation
(e.g., an agent). Learning strategies may also include selecting
communications as learning opportunities to improve automated response
capabilities based on selection criteria (e.g., selection criteria chosen
to ensure that the system does not learn from unreliable or insignificant
examples).