1. A method for compressing domain-related data, the method comprising: retrieving data pertaining to a subject matter domain, forming the domain-related data; receiving, forming a set of seeds, a set of text strings, wherein a text string forms a seed, and wherein the seed is derived from a domain topology; receiving a description of a linguistic structure present in a language of the domain-related data; receiving a statistical model applicable to the domain-related data; extracting, using a processor and a memory, a set of portions of the domain-related data, a portion in the set of portions forming a nugget, and the set of portions forming a set of nuggets, wherein a nugget matches the statistical model according to a criterion, and wherein the nugget conforms to the linguistic structure within a threshold degree; scoring a nugget in the set of nuggets according to a subset of a set of features found in the nuggets; selecting a subset of nuggets, the subset including the scored nugget, wherein a score of each nugget included in the subset of nuggets exceeds a score threshold; combining the subset of nuggets to form a pseudo-document; and submitting the pseudo-document to an application for answering a question related to the domain.
1. A method for compressing domain-related data, the method comprising: retrieving data pertaining to a subject matter domain, forming the domain-related data; receiving, forming a set of seeds, a set of text strings, wherein a text string forms a seed, and wherein the seed is derived from a domain topology; receiving a description of a linguistic structure present in a language of the domain-related data; receiving a statistical model applicable to the domain-related data; extracting, using a processor and a memory, a set of portions of the domain-related data, a portion in the set of portions forming a nugget, and the set of portions forming a set of nuggets, wherein a nugget matches the statistical model according to a criterion, and wherein the nugget conforms to the linguistic structure within a threshold degree; scoring a nugget in the set of nuggets according to a subset of a set of features found in the nuggets; selecting a subset of nuggets, the subset including the scored nugget, wherein a score of each nugget included in the subset of nuggets exceeds a score threshold; combining the subset of nuggets to form a pseudo-document; and submitting the pseudo-document to an application for answering a question related to the domain. 10. The method of claim 1 , wherein the data comprises transformations applied to an original data from a data source such that the transformations cause the data to be of a size greater than the original data, and wherein the transformations make the data suitable for use as a corpus in natural language processing (NLP).