9. An organizational table identifier comprising: a selector comprising computer hardware configured to select text fragment pairs associated with an organizational table from text fragments of a document based on textual similarity; a classifier comprising computer hardware wherein the classifier is trained to classify an input text fragment pair as associated with the organizational table or not associated with the organizational table based on one or more features of the text fragment pair including at least one text formatting feature, the classifier being trained using a set of positive training examples comprising some or all of the text fragment pairs of the document selected by the selector; and a re-selector comprising computer hardware configured to reselect text fragment pairs associated with the organizational table of the document from the text fragments of the document using the classifier.
9. An organizational table identifier comprising: a selector comprising computer hardware configured to select text fragment pairs associated with an organizational table from text fragments of a document based on textual similarity; a classifier comprising computer hardware wherein the classifier is trained to classify an input text fragment pair as associated with the organizational table or not associated with the organizational table based on one or more features of the text fragment pair including at least one text formatting feature, the classifier being trained using a set of positive training examples comprising some or all of the text fragment pairs of the document selected by the selector; and a re-selector comprising computer hardware configured to reselect text fragment pairs associated with the organizational table of the document from the text fragments of the document using the classifier. 10. The organizational table identifier as set forth in claim 9 , wherein the selector weights text fragment pairs based on textual similarity, and the selector further comprises: a path optimizer comprising computer hardware configured to select text fragment pairs so as to optimize an ordered path respective to the weights of the text fragment pairs.