Abstract: According to a computer-implemented method, an output is received resulting from natural language processing of unstructured text. In the output different phrases of the unstructured text are categorized into classes. A different visual distinction is generated for at least one class. A generated visual distinction is applied to phrases in the unstructured text based on their respective class. The unstructured text is displayed such that phrases in the unstructured text that correspond to the at least one class appear with the corresponding visual distinction indicative of that class.

Abstract: According to a computer-implemented method, a cognitive model container is created. The container includes a set of artifacts. Each artifact includes 1) content used by a cognitive service to convert unstructured text into structured text and 2) metadata. During deployment of a container, for each artifact a set of deployment descriptors are automatically identified. The deployment descriptors identify how the artifact is to be executed in the cognitive service. Also, during deployment of the container, content of an artifact is pushed to a number of cognitive services based on the deployment descriptors. The container is instantiated along with the set of artifacts to the cognitive service. During runtime execution of the container, content of each artifact in a container is obtained and unstructured text is converted into structured text based on the content of the artifacts.

Abstract: An inference rules identification mechanism is provided for automatically identifying inference rules. The mechanism parses content of at least one natural language document in a collection of natural language documents utilizing natural language processing to identify a set of attributes and corresponding values present in the content of the at least one natural language document thereby forming a set of attribute/value pairs. For each attribute/value pair in the set of attribute/value pairs, the mechanism determines an affinity correspondence measure of the attribute/value pair with each other attribute/value pair in the set of attribute/value pairs. The mechanism determines, based on the affinity correspondence measures of each attribute/value pair with each other attribute/value pair in the set of attribute/value pairs, a set of inferred rules.

Abstract: According to a computer-implemented method, a cognitive model container is created. The container includes a set of artifacts. Each artifact includes 1) content used by a cognitive service to convert unstructured text into structured text and 2) metadata. During deployment of a container, for each artifact a set of deployment descriptors are automatically identified. The deployment descriptors identify how the artifact is to be executed in the cognitive service. Also, during deployment of the container, content of an artifact is pushed to a number of cognitive services based on the deployment descriptors. The container is instantiated along with the set of artifacts to the cognitive service. During runtime execution of the container, content of each artifact in a container is obtained and unstructured text is converted into structured text based on the content of the artifacts.

Abstract: According to a computer-implemented method, an output is received resulting from natural language processing of unstructured text. In the output different phrases of the unstructured text are categorized into classes. A different visual distinction is generated for at least one class. A generated visual distinction is applied to phrases in the unstructured text based on their respective class. The unstructured text is displayed such that phrases in the unstructured text that correspond to the at least one class appear with the corresponding visual distinction indicative of that class.