1. A system for generating a decision network from a plurality of computer readable text documents, the system comprising: memory that stores a plurality of computer readable text documents; and a processing unit for accessing the memory and for executing computer executable instructions, the computer executable instructions comprising: a preprocessing portion configured to reduce a given computer readable text document of the plurality of computer readable text documents into one or more text segments; an information extractor configured to: identify predefined hedge words and predefined qualifier words in the one or more text segments relating to one or more words in the one or more text segments, wherein the one or more words comprise at least one of a noun, a pronoun and a verb; and assign a confidence value to each identified hedge word and qualifying word that represent a degree of belief or disbelief for the related one or more words; an evidence classifier configured to associate each of the one or more text segments with one of a plurality of hypotheses; a fusion engine configured to build a decision network from the plurality of hypotheses that define nodes in the decision network, an associated predefined hierarchical structure for the decision network, the identified hedge words and qualifying words, their related one or more words, and the assigned confidence values; a knowledge base that stores information relating to the plurality of hypotheses, the evidence classifier being operative to add a new hypothesis to the knowledge base in response to identification of hedge words and qualifier words in the one or more text segments; and a user interface that displays the generated decision network to a user.