17. The method of claim 15 , wherein the step of automatically learning to assess comprises the steps of: (a) automatically labeling each relationship extracted from the training data as either positive or negative, producing labeled data; and (b) training an independent feature model using the labeled data, so that the independent feature model is used to determine the quality of the relationships indicated by the tuples, in regard to whether each of the relationships of the tuples extracted from the corpus of text is trustworthy or not trustworthy.
17. The method of claim 15 , wherein the step of automatically learning to assess comprises the steps of: (a) automatically labeling each relationship extracted from the training data as either positive or negative, producing labeled data; and (b) training an independent feature model using the labeled data, so that the independent feature model is used to determine the quality of the relationships indicated by the tuples, in regard to whether each of the relationships of the tuples extracted from the corpus of text is trustworthy or not trustworthy. 18. The method of claim 17 , wherein the independent feature model comprises a Naive Bayes classifier that operates without manual supervision and is thus self-supervised.