Abstract: A computer implemented method and system for automatically creating an annotated dataset. An automatic annotating system may access a proprietary database and an unannotated dataset and identify tokens, or character spans, of the unannotated dataset that match property values in the database. The automatic annotating system may then determine whether the identified tokens in the unannotated dataset originated, or derived, from the database by calculating probabilities using a language model and a Bayesian network. The automatic annotating system annotates identified tokens determined to originate from the database by associating a tag to each identified token and assigning annotation attributes for each tag. The annotations and associated properties and values are stored as an annotated dataset. The annotated dataset may then be used train automated, machine learned models to identify and tag other datasets.

Abstract: A computer implemented method and system for testing complex data processing systems. A transaction processing testing system may identify test scenarios used to test a software system or application, such as a data processing system, in a modified state. The test scenarios may be based on actual historical data, selected and prioritized using natural language terms, provided to the data processing system and the results of the processing thereof by the data processing system. The testing system may then compare the results of processing one or more particular test scenarios by a modified version of the data processing system against the results of processing the same scenario(s) by the version of the data processing system prior to being modified to determine whether or not there are defects in the modified version. The testing may account for any expected differences between the results due to the modification(s).

Abstract: A computer implemented method and system for testing complex data processing systems. A transaction processing testing system may identify test scenarios used to test a software system or application, such as a data processing system, in a modified state. The test scenarios may be based on actual historical data, selected and prioritized using natural language terms, provided to the data processing system and the results of the processing thereof by the data processing system. The testing system may then compare the results of processing one or more particular test scenarios by a modified version of the data processing system against the results of processing the same scenario(s) by the version of the data processing system prior to being modified to determine whether or not there are defects in the modified version. The testing may account for any expected differences between the results due to the modification(s).

Abstract: A mobile office system provides a portable, convenient, and efficient framework for setting up communication devices, establishing connectivity, and delivering interactive presentations. The mobile office system includes a portable component carrier. Inside the portable component carrier are component placement structures that define placement locations at which the specific components of the mobile office may be placed, stored, and secured. As one example, the component placement structures may define slots configured to securely hold tablet computers in place during movement of the portable component carrier.