2. The system of claim 1 , wherein the computer processing system is configured to receive a value for a customized ranking parameter from the user interface, wherein the computer processing system is configured to calculate the relevance score as a function of the first frequency, the second frequency, and the customized ranking parameter.
1. A system for assessing information in natural language contents, comprising: a computer processing system configured to receive, from a user interface, an object name as a query term from a user; and a computer storage configured to store an object-specific data set related to the object name and to store a plurality of documents containing text in a natural language, wherein the object-specific data set includes a plurality of property names and association-strength values, each property name being associated with an association-strength value, wherein the association strength values of the plurality of property names are above a predetermined threshold value, wherein the plurality of property names includes a first property name and a second property name, wherein the computer processing system is configured to count a first frequency of the first property name in one of the plurality of documents, to count a second frequency of the second property name in the one of the plurality of documents, to calculate a relevance score as a function of the first frequency and the second frequency, to rank the plurality of documents using their respective relevance scores, and to return one or more documents to the user interface based on the ranking of the plurality of documents.