20. The method of claim 19 wherein the generating of the classifier includes: identifying part-of-speech of words of a training corpus; identifying training tuples from the training corpus based on the part-of-speech of the words of the training corpus; identifying relationships between entities of the corpus by parsing sentences into parse structures and analyzing the parse structures to locate words that indicates relationships between entities; assigning labels to the training tuples as to whether a relationship indicator of a training tuple indicates a correct relationship between a first entity and a second entity based on the relationships identified by the parsing and analyzing; and extracting features of the training tuples; and training the classifier using the labels and extracted features of the training tuples.
20. The method of claim 19 wherein the generating of the classifier includes: identifying part-of-speech of words of a training corpus; identifying training tuples from the training corpus based on the part-of-speech of the words of the training corpus; identifying relationships between entities of the corpus by parsing sentences into parse structures and analyzing the parse structures to locate words that indicates relationships between entities; assigning labels to the training tuples as to whether a relationship indicator of a training tuple indicates a correct relationship between a first entity and a second entity based on the relationships identified by the parsing and analyzing; and extracting features of the training tuples; and training the classifier using the labels and extracted features of the training tuples. 21. The method of claim 20 wherein the parser is a deep linguistic parser.