7. A method comprising: automatically identifying a question lexical answer type (LAT) for a question in a question-answering system, using a computerized device; automatically generating a candidate answer to said question, using said computerized device; automatically determining preliminary types for said candidate answer using first components of said computerized device, said first components using different resources to produce said preliminary types, and each of said first components producing a preliminary type for said candidate answer; automatically scoring a match between said preliminary type and said question LAT using said first components of said computerized device and producing a first type-score for each preliminary type based on an amount that said preliminary type corresponds to said question LAT, said first components using different resources to produce said first type-score for said preliminary type, and said scoring being differentiated based on which of said first components produced said preliminary type; each of second components automatically evaluating each said preliminary type and said first type-score from each of said first components, using said computerized device, each of said second components producing a second score for said preliminary type for said candidate answer based on a combination of said first type-score and a measure of degree that said preliminary type matches said question LAT; and automatically outputting a final score based on said second score from each of said second components, said final score representing a degree of confidence that said candidate answer is a type that matches said question LAT, using said computerized device.
12. The method according to claim 7 , further comprising automatically resolving said second score from each of said second components to a single final score using an aggregation function, using said computerized device.