11. A method for automatically extracting relational information from a corpus of text with a computing device without specifying criteria or patterns for controlling extraction of the relational information by the computing device, comprising the steps of: (a) employing a first module that determines a set of linguistic features that are domain independent and which can be used to extract relationships between objects from text; and (b) employing a second module that uses an extractor and the linguistic features to automatically extract a plurality of tuples from the corpus of text, each tuple including a plurality of objects connected by at least one relationship, wherein the extractor provides the plurality of tuples by tagging at least a portion of words within the corpus of text with each tagged word's most probable part of speech, without parsing the corpus of text and without generating a parse tree.
19. The method of claim 11 , further comprising the step of mapping each tuple extracted from the corpus of text to a feature vector representation, wherein all features are domain independent.