22. A system for generating a user-interest note comprising: a processor that selects a text passage by highlighting the text or by inputting the text; user interest information received from at least one of entered keywords, monitored internet browsing patterns, and user academic or professional information; at least one condensation transformation expressed as rewrite rules and functions which reduces the selected passage by merging, deleting and changing the elements of the selected passage to remove modifiers and less salient information; a meaning structure determined by using a parsing grammar; a reduced meaning structure derived from the selected passage and based on input user information; meaning distortion constraints beyond which the meaning structure is identified as being distorted after the at least one condensation transformation is applied; and a plurality of candidate condensate based on the reduced meaning structure which are optimally ranked based on a predictive model or a statistical disambiguation model; wherein the processor further selects a user-interest note from the candidate condensates based on the input user interests.
22. A system for generating a user-interest note comprising: a processor that selects a text passage by highlighting the text or by inputting the text; user interest information received from at least one of entered keywords, monitored internet browsing patterns, and user academic or professional information; at least one condensation transformation expressed as rewrite rules and functions which reduces the selected passage by merging, deleting and changing the elements of the selected passage to remove modifiers and less salient information; a meaning structure determined by using a parsing grammar; a reduced meaning structure derived from the selected passage and based on input user information; meaning distortion constraints beyond which the meaning structure is identified as being distorted after the at least one condensation transformation is applied; and a plurality of candidate condensate based on the reduced meaning structure which are optimally ranked based on a predictive model or a statistical disambiguation model; wherein the processor further selects a user-interest note from the candidate condensates based on the input user interests. 37. The system of claim 22 , in which the passage is converted into a packed meaning structure and the condensation transformations are applied to the packed structure based on meaning distortion constraints.