1. A method for accessing documents related to a subject from a document corpus, comprising: categorizing documents from the document corpus based on one or more subjects; creating a candidate list of word sequences, wherein respective ones of the word sequences comprise one or more elements derived from the document corpus; expanding the candidate list by adding one or more new word patterns, wherein each new pattern comprises a gapped sequence created by combining one or more elements derived from the document corpus with one of said word sequences; determining a predictive power with respect to the subject for respective ones of entries of the candidate list, wherein the entries comprise said word sequences and said new word patterns; pruning from the candidate list ones of said entries with the determined predictive power less than a predetermined threshold, wherein the predictive power comprises a measure of information gain, and wherein the pruning further comprises pruning from the candidate list ones of said entries with a frequency of occurrence less than a predetermined frequency threshold; accessing documents from the document corpus based on the pruned candidate list; updating the categorization of documents based on the accessing; and iteratively performing the expanding, the determining the predictive power, and the pruning, for increasing entry lengths until at least one of the entries is of a predetermined length.
1. A method for accessing documents related to a subject from a document corpus, comprising: categorizing documents from the document corpus based on one or more subjects; creating a candidate list of word sequences, wherein respective ones of the word sequences comprise one or more elements derived from the document corpus; expanding the candidate list by adding one or more new word patterns, wherein each new pattern comprises a gapped sequence created by combining one or more elements derived from the document corpus with one of said word sequences; determining a predictive power with respect to the subject for respective ones of entries of the candidate list, wherein the entries comprise said word sequences and said new word patterns; pruning from the candidate list ones of said entries with the determined predictive power less than a predetermined threshold, wherein the predictive power comprises a measure of information gain, and wherein the pruning further comprises pruning from the candidate list ones of said entries with a frequency of occurrence less than a predetermined frequency threshold; accessing documents from the document corpus based on the pruned candidate list; updating the categorization of documents based on the accessing; and iteratively performing the expanding, the determining the predictive power, and the pruning, for increasing entry lengths until at least one of the entries is of a predetermined length. 7. The method of claim 1 , further comprising: iteratively performing the expanding, the determining the predictive power, and the pruning, until at least one of the entries is of a predetermined length.