16. A method for automatically answering queries, comprising: receiving a query from a user; employing language processing to parse the query into component parts of speech and logical forms; employing parse data produced by parsing the query to access a decision model, the decision model storing conditional probabilities associated with informational goals given the query within one or more decision trees; inferring one or more informational goals from the decision model and a physical location of the user; generating an answer related to the query and the one or more inferred informational goals; automatically clarifying at least one inference associated with the one or more informational goals prior to generating the answer, via a dialog with the user when the inference has a probability below a predefined threshold; and refining one or more of at least an attribute associated with the user or the decision model based upon occurrence of the automatic clarification of the at least one inference.
18. The method of claim 16 , the inferred informational goals accurately reflect, at least seventy five percent of the time, actual informational goals of a consumer offering a question with less than seven phrases.