13. A semantic processor for automatically semantic labeling of natural language text in electronic or digital form, the semantic processor comprising: a preformatter that preformats received electronic text; a linguistic analyzer that performs basic linguistic analysis of the preformatted text using a central processing unit (CPU), wherein the basic linguistic analysis includes: recognizing objects or classes of objects within the text; recognizing facts over the objects or classes of objects; recognizing cause-effect relationships over the facts; and creating tags that associate the text with corresponding cause-effect relationships; and a labeler that matches the linguistically analyzed text and the created tags against stored target semantic relationship patterns to produce semantically labeled text, wherein the stored target semantic relationship patterns generically describe semantic relationships between words or phrases, the stored target semantic relationships being derived in part from cause-effect relationships between words or phrases, wherein the semantically labeled text includes semantic relationship labels that indicate semantic relationships between words or phrases from sentences within the text, wherein the semantic relationship labels indicate which words or phrases in the linguistically analyzed text are components of semantic relationships of the stored target semantic relationship patterns.
13. A semantic processor for automatically semantic labeling of natural language text in electronic or digital form, the semantic processor comprising: a preformatter that preformats received electronic text; a linguistic analyzer that performs basic linguistic analysis of the preformatted text using a central processing unit (CPU), wherein the basic linguistic analysis includes: recognizing objects or classes of objects within the text; recognizing facts over the objects or classes of objects; recognizing cause-effect relationships over the facts; and creating tags that associate the text with corresponding cause-effect relationships; and a labeler that matches the linguistically analyzed text and the created tags against stored target semantic relationship patterns to produce semantically labeled text, wherein the stored target semantic relationship patterns generically describe semantic relationships between words or phrases, the stored target semantic relationships being derived in part from cause-effect relationships between words or phrases, wherein the semantically labeled text includes semantic relationship labels that indicate semantic relationships between words or phrases from sentences within the text, wherein the semantic relationship labels indicate which words or phrases in the linguistically analyzed text are components of semantic relationships of the stored target semantic relationship patterns. 14. The semantic processor according to claim 13 , wherein the linguistic analyzer comprises a semantic analyzer that produces semantically analyzed text, the semantic analyzer comprising: an expanded Subject-Action-Object (eSAO) recognizer that recognizes eSAOs sets in the text; and a cause-effect (C-E) recognizer that recognizes an eSAO cause-effect relationship of the cause-effect relationships, wherein eSAO and C-E recognition is based on linguistic patterns stored in a linguistic knowledge base.