1. A method of contextualizing noisy samples comprising: receiving a sample comprising exemplar content corresponding to one of a plurality of exemplars and noise, wherein the noise comprises a modification to the exemplar content relative to the exemplar content as originally comprised by a physical object from which the sample was generated, and wherein variance induced by the noise differentiates the sample from one or more of the plurality of exemplars; generalizing the sample and the plurality of exemplars in order to minimize the variance induced by the noise; comparing the generalized sample to each of the plurality of generalized exemplars to identify which of the plurality of exemplars corresponds to the exemplar content of the sample; contextualizing the sample based on a document type corresponding to the identified exemplar of the plurality of exemplars; and presenting the contextualized sample to a user to facilitate interpretation thereof and, in response thereto, receiving data representative of a user determination associated with the noise.