101. The system as recited in claim 94 , wherein the one or more filters include eliminating candidate entries that begin or end with a stopword, or eliminating candidate entries that cross a comma.
94. A system for automatically generating one or more keywords from an electronic document, the system comprising: a network; one or more client computers communicably connected to the network; one or more server computers communicably connected to the network; one or more document storage repositories communicably connected to the network, to one or more of the client computers, or to one or more of the server computers; and a processor within at least one of the client computers or server computers, wherein the processor (a) identifies candidate entries for the keywords by extracting all n-grams up to a specified length that do not cross sentence boundaries, reducing a size of a data set consisting of the extracted n-grams by applying one or more filters and balancing a distribution of positive and negative examples whenever the data set is derived from a training data set, (b) constructs a feature vector for each candidate entry, wherein the feature vector comprises at least one feature selected from the group consisting of one or more discourse comprehension features, one or more part-of-speech pattern features, and one or more encyclopedic annotation features, (c) assigns a numeric score to each candidate entry based on the feature vector for that candidate entry, and (d) selects a specified number of entries to be retained as the keywords.