Abstract: A hierarchical data processor test system (and method) is usable to configure a hierarchical plurality of similarity operators and process predetermined input test data through a data processor under test (DPUT) to produce corresponding DPUT output data. The test system is further usable to process the DPUT output data and the predetermined output test data through at least some of the plurality of similarity operators in hierarchical order, determine a highest order similarity operator that indicates a match between the DPUT output data and the predetermined output test data, and compute a confidence score based on the highest order similarity operator that indicated the match. Based on the confidence score exceeding a threshold, the test system also may include activating the DPUT for use by non-test data.

Abstract: Mechanisms are provide for implementing a context aware abbreviation detection and annotation operation. An instance of a full name of an entity is identified in received content and analysis of a context window associated with the instance of the full name of the entity is performed to identify a presence of a pattern of content representative of an abbreviation. An abbreviation is identified as being present in association with the instance of the full name of the entity based on results of the analysis of the context window and a mapping data structure that maps the full name of the entity to the abbreviation is generated. The received content is annotated based on the mapping data structure to thereby generate abbreviation annotations for the received content. The annotated received content is output for use by a cognitive system to perform a cognitive operation based on the annotated received content.

Abstract: A hierarchical data processor test system (and method) is usable to configure a hierarchical plurality of similarity operators and process predetermined input test data through a data processor under test (DPUT) to produce corresponding DPUT output data. The test system is further usable to process the DPUT output data and the predetermined output test data through at least some of the plurality of similarity operators in hierarchical order, determine a highest order similarity operator that indicates a match between the DPUT output data and the predetermined output test data, and compute a confidence score based on the highest order similarity operator that indicated the match. Based on the confidence score exceeding a threshold, the test system also may include activating the DPUT for use by non-test data.

Abstract: Mechanisms are provide for implementing a context aware abbreviation detection and annotation operation. An instance of a full name of an entity is identified in received content and analysis of a context window associated with the instance of the full name of the entity is performed to identify a presence of a pattern of content representative of an abbreviation. An abbreviation is identified as being present in association with the instance of the full name of the entity based on results of the analysis of the context window and a mapping data structure that maps the full name of the entity to the abbreviation is generated. The received content is annotated based on the mapping data structure to thereby generate abbreviation annotations for the received content. The annotated received content is output for use by a cognitive system to perform a cognitive operation based on the annotated received content.