29. A system for processing natural language information, comprising: a processor; a memory; and a semantic network editing tool, said semantic network editing tool including one or more modules communicatively coupled with a natural language processing (NLP) system and a document repository to facilitate extraction of processed information from the NLP system for use in a semantic network wherein the semantic network editing tool is disposed to be used to view and edit entities and triplets included within the semantic network and to map entity types and relation types of a first ontology of the NLP system to element types and relation types, respectively, of a second ontology of the semantic network, the first ontology being different from the second ontology; wherein communicatively coupling the one or more modules with the NLP system includes automatically converting one or more semantic network entity types and associated semantic network templates into NLP extractor definitions and wherein the extractor definitions are trained using sample documents prior to being utilized to facilitate the extraction of the processed information from the NLP system, wherein ones of the element types are associated with ones of the semantic network templates, each of the semantic network templates including a plurality of roles corresponding to a plurality of additional element types.
29. A system for processing natural language information, comprising: a processor; a memory; and a semantic network editing tool, said semantic network editing tool including one or more modules communicatively coupled with a natural language processing (NLP) system and a document repository to facilitate extraction of processed information from the NLP system for use in a semantic network wherein the semantic network editing tool is disposed to be used to view and edit entities and triplets included within the semantic network and to map entity types and relation types of a first ontology of the NLP system to element types and relation types, respectively, of a second ontology of the semantic network, the first ontology being different from the second ontology; wherein communicatively coupling the one or more modules with the NLP system includes automatically converting one or more semantic network entity types and associated semantic network templates into NLP extractor definitions and wherein the extractor definitions are trained using sample documents prior to being utilized to facilitate the extraction of the processed information from the NLP system, wherein ones of the element types are associated with ones of the semantic network templates, each of the semantic network templates including a plurality of roles corresponding to a plurality of additional element types. 32. The system of claim 29 further comprising the document repository and the NLP system.