1. A computer-implemented method of preparing a set of documents to support information extraction, the method comprising: defining a set of concept categories; defining a set of monadic relations associated with single concepts; defining a set of dyadic relations between concepts; defining a set of rules that allow extraction of monadic relations associated with concepts and dyadic relations between concepts; receiving a corpus containing documents; parsing the documents to identify concepts; extracting, by applying the set of rules to the parsed documents, concept-relation-concept triples, referred to as CRCs, and relation-concept pairs, referred to as RCs from the parsed documents; and incorporating the CRCs and the RCs into a data organization.
1. A computer-implemented method of preparing a set of documents to support information extraction, the method comprising: defining a set of concept categories; defining a set of monadic relations associated with single concepts; defining a set of dyadic relations between concepts; defining a set of rules that allow extraction of monadic relations associated with concepts and dyadic relations between concepts; receiving a corpus containing documents; parsing the documents to identify concepts; extracting, by applying the set of rules to the parsed documents, concept-relation-concept triples, referred to as CRCs, and relation-concept pairs, referred to as RCs from the parsed documents; and incorporating the CRCs and the RCs into a data organization. 12. The method of claim 1 wherein said parsing the documents to identify concepts includes at least one of the group consisting of determining phrase boundaries, determining parts of speech, identifying numeric concepts, identifying phrasal verbs, identifying idioms, and identifying proper names.