15. The computer program product according to claim 10 , said count for each said relation instance further comprising pointwise mutual information.
10. A computer program product for answering questions in a question-answering system, said computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, said program code being readable and executable by a computer to perform a method, comprising: identifying a title and a topical field of a portion of a document in a grouping of documents; identifying a field name and field content associated with said topical field; creating a title-oriented document by combining, said title, said field name, and said field content associated with said a topical field of said portion of said document; for each said title-oriented document, identifying a term in said title that corresponds to previously established categories to produce a title concept identifier; for each said title-oriented document, synthesizing said topical field to produce a field concept identifier and a field content concept identifier from said previously established categories; creating a relation instance by combining, for each said field concept identifier, a corresponding title concept identifier of said title concept identifier and a corresponding field content concept identifier of said field content concept identifier; calculating a count for each said relation instance based on a number of occurrences of said title concept identifier and said field content concept identifier within a corresponding document in said grouping of documents; including said count with each said relation instance; receiving a question into said computer; analyzing terms in said question to identify a question content identifier based on previously established question term categories; comparing said question content identifier to said relation instance to identify a question-matching relation instance; identifying said title concept identifier of each said question-matching relation instance as a candidate answer to said question; adding each said count within each said relation instance corresponding to each said candidate answer to provide an answer score for each said candidate answer; and outputting each said candidate answer and each corresponding said answer score from said computer.