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We present an efficient algorithm called the Quadtree Heuristic for identifying a list of similar terms for each unique term in a large document collection. Term similarity is defined using the Expected Mutual Information Measure (EMIM). Since our aim for defining the similarity lists is to improve information retrieval (IR), we present the outcome of an(More)