1. A method, in a data processing system comprising a processor and a memory, for performing context based synonym filtering for natural language processing, the method comprising: parsing, by the data processing system, content into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept; for each conceptual unit in the one or more conceptual units, identifying, by the data processing system, a term in the conceptual unit that has a synonym to be utilized during natural language processing of the content; determining, by the data processing system, a first measure of relatedness of the term to at least one other term in the conceptual unit; determining, by the data processing system, a second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit; determining, by the data processing system, whether or not to utilize the synonym when performing natural language processing on the conceptual unit, based on the first measure of relatedness and second measure of relatedness; and performing, by the data processing system, natural language processing on the content based on results of determining whether or not to utilize the synonym, wherein the first measure of relatedness is calculated as the sum, from 1 to N, where N is a number of remaining words in the conceptual unit, of the quantity 1/N*(f(Wn, ORIG)), where f( ) is a semantic distance function, W is the set of remaining words in the conceptual unit, and ORIG is the term, and wherein the second measure of relatedness is calculated as the sum, from 1 to N, of the quantity alpha*1/N*(f(Wn, SYN)), where alpha is a constant, and SYN is the synonym, wherein determining whether or not to utilize the synonym when performing natural language processing on the conceptual unit comprises: comparing the first measure of relatedness to the second measure of relatedness using the following relationship: ∑ n = 1 N ⁢ 1 N ⁢ f ⁡ ( W n , ORIG ) ≤ ∑ n = 1 N ⁢ α ⁢ 1 N ⁢ f ⁡ ( W n , SYN ) ⁢ { pass fail } ; and determining to utilize the synonym when performing natural language processing on the conceptual unit in response to the relationship being satisfied.