15. A computer program product, comprising: a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising: receiving an electronic policy document specifying a plurality of criteria; identifying, in a segment of unstructured text in the policy document, a criteria delimiter; identifying a first portion and a second portion of the segment of unstructured text, wherein the first and second portions are identified based on the criteria delimiter, wherein the first and second portions comprise a first criterion and a second criterion, respectively, wherein the first criterion comprises text in the policy document specifying: a first concept, a value for the first concept, and a first operator for the value for the first concept, wherein the second criterion comprises text in the policy document specifying: a second concept, a value for the second concept, and a second operator for the value for the second concept; identifying, by a first annotator of a plurality of annotators, an anaphora in the second portion of the segment of unstructured text that relates the second concept to the first concept; combining, based on the identified anaphora, the first criterion and the second criterion into a composite criterion, wherein the composite criterion comprises the first and second concepts, at least one of the first and second operators, and at least one of the values for the first and second concepts; and storing an indication that the composite criterion is one of the plurality of criteria for the policy document, wherein combining the first and second criteria reduces an amount of processing resources required to process cases against the plurality of criteria of the policy document relative to processing cases without combining the first and second criteria.
15. A computer program product, comprising: a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising: receiving an electronic policy document specifying a plurality of criteria; identifying, in a segment of unstructured text in the policy document, a criteria delimiter; identifying a first portion and a second portion of the segment of unstructured text, wherein the first and second portions are identified based on the criteria delimiter, wherein the first and second portions comprise a first criterion and a second criterion, respectively, wherein the first criterion comprises text in the policy document specifying: a first concept, a value for the first concept, and a first operator for the value for the first concept, wherein the second criterion comprises text in the policy document specifying: a second concept, a value for the second concept, and a second operator for the value for the second concept; identifying, by a first annotator of a plurality of annotators, an anaphora in the second portion of the segment of unstructured text that relates the second concept to the first concept; combining, based on the identified anaphora, the first criterion and the second criterion into a composite criterion, wherein the composite criterion comprises the first and second concepts, at least one of the first and second operators, and at least one of the values for the first and second concepts; and storing an indication that the composite criterion is one of the plurality of criteria for the policy document, wherein combining the first and second criteria reduces an amount of processing resources required to process cases against the plurality of criteria of the policy document relative to processing cases without combining the first and second criteria. 16. The computer program product of claim 15 , wherein the indication is stored as an Unstructured Information Management Architecture (UIMA) Common Analysis System (CAS) object, the operation further comprising determining that the first and second criteria are related criteria by: identifying a first concept in the first portion of the segment of unstructured text and a second concept in the second portion of the segment of unstructured text; determining a distance between a first concept node of an ontology and a second concept node of the ontology, wherein the first and second nodes of the ontology are related to the first and second concepts, respectively; computing a score for the first concept and the second concept, wherein the similarity score is based on the distance between the first concept node and the second concept node in the ontology and reflects a level of similarity between the first and second concepts; and prior to combining the first criterion and the second criterion into the composite criterion, determining that the similarity score exceeds a similarity threshold.