Abstract: Provided is a process that includes: obtaining a training set of n-grams labeled as offensive; causing a machine learning model to be trained based on the training set of n-grams, wherein the machine learning model, when trained, is configured to classify natural language text as offensive or non-offensive; obtaining input natural language text expressing a computer-generated utterance; classifying after causing training, the computer-generated utterance as offensive or non-offensive using the machine learning model; and causing an output to be provided to a recipient, the output being based on whether the machine learning model classifies the computer-generated utterance as offensive or non-offensive.

Abstract: Provided is a process that includes: obtaining a training set of n-grams labeled as offensive; causing a machine learning model to be trained based on the training set of n-grams, wherein the machine learning model, when trained, is configured to classify natural language text as offensive or non-offensive; obtaining input natural language text expressing a computer-generated utterance; classifying after causing training, the computer-generated utterance as offensive or non-offensive using the machine learning model; and causing an output to be provided to a recipient, the output being based on whether the machine learning model classifies the computer-generated utterance as offensive or non-offensive.

Abstract: According to another embodiment of the disclosure, a method includes determining a first original identifier. The original identifier uniquely identifies a first original identity. The method also includes sending a request to a cooperative synthetic identity manager to create a first cooperative synthetic identity case for the first original identity. The method further includes receiving, from the cooperative synthetic identity manager, a first case identifier that uniquely identifies the first cooperative synthetic identity case. The method also includes requesting, from a first data entity, first cooperative synthetic identity information for the first original identity. The first cooperative synthetic identity information request comprises the first case identifier and the first original identifier. The method also includes receiving, from the first data entity, the first cooperative synthetic identity information.

Abstract: According to one embodiment of the disclosure, a method includes receiving, from a first requestor, a request to create a cooperative synthetic identity case for an original identity. The method includes determining whether a cooperative synthetic identity case has already been created for the original identity. The method also includes generating a case identifier that uniquely identifies the cooperative synthetic identity case. The method further includes associating the case identifier with an expiration period. The method also includes storing the cooperative synthetic identity case, the case identifier, and the expiration period to a memory. The method also includes sending the case identifier to the first requestor.

Abstract: Provided is a process, including: obtaining a model of an application program interface (“API”); receiving a request to generate a functional-test specification for the API; detecting sets of functionality identified by the model of the API and respective sets of parameters corresponding to the detected sets of functionality by parsing the model of the API; in response to receiving the request, generating the functional-test specification for the API by, for at least some respective detected sets of functionality, specifying respective sets of functional tests based on corresponding sets of parameters.

Abstract: According to one embodiment of the disclosure, a method includes receiving, from a first requestor, a request to create a cooperative synthetic identity case for an original identity. The method includes determining whether a cooperative synthetic identity case has already been created for the original identity. The method also includes generating a case identifier that uniquely identifies the cooperative synthetic identity case. The method further includes associating the case identifier with an expiration period. The method also includes storing the cooperative synthetic identity case, the case identifier, and the expiration period to a memory. The method also includes sending the case identifier to the first requestor.

Abstract: According to another embodiment of the disclosure, a method includes determining a first original identifier. The original identifier uniquely identifies a first original identity. The method also includes sending a request to a cooperative synthetic identity manager to create a first cooperative synthetic identity case for the first original identity. The method further includes receiving, from the cooperative synthetic identity manager, a first case identifier that uniquely identifies the first cooperative synthetic identity case. The method also includes requesting, from a first data entity, first cooperative synthetic identity information for the first original identity. The first cooperative synthetic identity information request comprises the first case identifier and the first original identifier. The method also includes receiving, from the first data entity, the first cooperative synthetic identity information.

Abstract: According to another embodiment of the disclosure, a method includes receiving, from an analyzing entity, a request for first cooperative synthetic identity information. The first cooperative synthetic identity information request comprises a first case identifier and a first original identifier. The first original identifier uniquely identifies a first original identity. The method also includes determining, based on the first original identifier, a plurality of information corresponding to the first original identity.

Abstract: The present invention involves value-added applications (or middleware) that integrates and adds value to existing call system and medical software packages by leveraging the assets of telecommunications manager software and medical records software with further specialized software. The EXTENSION system provides a modular set of medical workflow based applications that tightly integrate with telephone, such as call manager systems, and information systems, such as medical software packages. This combination allows a greater level of productivity within the medical organization.