Information Extraction (IE) techniques aim to extract the names of entities and objects from text and to identify the roles that they play in event descr iptions.
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We present a novel approach to automatically discover object categories from a collection of unlabeled images. This is achieved by the Information Bottleneck method, which finds the optimal partitioning of the image collection by maximally preservin
