2. The method of claim 1 , further comprising the step of automatically creating means for ranking a quality of the plurality of tuples extracted from the corpus of text, each tuple including a plurality of objects and at least one relationship that connects the plurality of objects.
2. The method of claim 1 , further comprising the step of automatically creating means for ranking a quality of the plurality of tuples extracted from the corpus of text, each tuple including a plurality of objects and at least one relationship that connects the plurality of objects. 8. The method of claim 2 , wherein the step of automatically creating the means for ranking comprises the steps of: (a) for training data, using a parser to automatically identify objects and relationships of each tuple in the training data and to label each tuple in the training data as either trustworthy or not trustworthy in regard to a relationship between the plurality of objects comprising the tuple; and (b) using the tuples that have thus been labeled as a training example for the means for ranking that will be employed to determine the quality of the tuples extracted from the corpus of text, so that the means for ranking learns in an unsupervised manner from the training example how to classify tuples extracted from the corpus of text, in regard to their quality.