Abstract: Mechanisms are provided for training and operating a Question and Answer (QA) system pipeline. A corpus of information is received which comprises historical data to which one or more filter criteria are applied to extract filtered historical data relevant to a training objective for training the QA system pipeline. Attribute data, action data, and temporal characteristic data are captured from the filtered historical data. An answer key entry is automatically generated in an automatically generated training answer key data structure based on the attribute data, action data, and temporal characteristic data. The correct answer associated with the answer key entry is an action specified by the action data. The temporal characteristic data provides a historical context for the answer key entry. The QA system pipeline is trained using the automatically generated training answer key data structure.

Abstract: Mechanisms are provided for training and operating a Question and Answer (QA) system pipeline. A corpus of information is received which comprises historical data to which one or more filter criteria are applied to extract filtered historical data relevant to a training objective for training the QA system pipeline. Attribute data, action data, and temporal characteristic data are captured from the filtered historical data. An answer key entry is automatically generated in an automatically generated training answer key data structure based on the attribute data, action data, and temporal characteristic data. The correct answer associated with the answer key entry is an action specified by the action data. The temporal characteristic data provides a historical context for the answer key entry. The QA system pipeline is trained using the automatically generated training answer key data structure.

Abstract: Mechanisms are provided for training and operating a Question and Answer (QA) system pipeline. A corpus of information is received which comprises historical data to which one or more filter criteria are applied to extract filtered historical data relevant to a training objective for training the QA system pipeline. Attribute data, action data, and temporal characteristic data are captured from the filtered historical data. An answer key entry is automatically generated in an automatically generated training answer key data structure based on the attribute data, action data, and temporal characteristic data. The correct answer associated with the answer key entry is an action specified by the action data. The temporal characteristic data provides a historical context for the answer key entry. The QA system pipeline is trained using the automatically generated training answer key data structure.

Abstract: Mechanisms are provided for implementing training logic for training a Question and Answer (QA) system. A training question, associated with an answer key, is received and processed by the QA system to generate a final answer to the training question and supporting evidence for the final answer based on a corpus of information. The supporting evidence is analyzed to identify one or more evidence attributes and a plurality of correct answer entries in the answer key are searched to identify a matching correct answer entry that matches the final answer. The matching correct answer entry in the answer key is augmented to include the one or more evidence attributes in an augmented answer key and the QA system is trained based on the augmented answer key.

Abstract: Methods, systems, and articles of manufacture for organizing and selecting structures used to generate forms for capturing information as annotations made for a variety of different type data objects are provided. Some embodiments allow annotation structures to be associated with specific pairings of data object types and user roles via entries in a configuration file. When a user selects a set of one or more data objects for annotation, the configuration file may be accessed to determine a proper annotation structure for use in generating an annotation form based on the selected data objects and a role of the user.

Abstract: Mechanisms are provided for implementing training logic for training a Question and Answer (QA) system. A training question, associated with an answer key, is received and processed by the QA system to generate a final answer to the training question and supporting evidence for the final answer based on a corpus of information. The supporting evidence is analyzed to identify one or more evidence attributes and a plurality of correct answer entries in the answer key are searched to identify a matching correct answer entry that matches the final answer. The matching correct answer entry in the answer key is augmented to include the one or more evidence attributes in an augmented answer key and the QA system is trained based on the augmented answer key.

Abstract: Mechanisms are provided for training and operating a Question and Answer (QA) system pipeline. A corpus of information is received which comprises historical data to which one or more filter criteria are applied to extract filtered historical data relevant to a training objective for training the QA system pipeline. Attribute data, action data, and temporal characteristic data are captured from the filtered historical data. An answer key entry is automatically generated in an automatically generated training answer key data structure based on the attribute data, action data, and temporal characteristic data. The correct answer associated with the answer key entry is an action specified by the action data. The temporal characteristic data provides a historical context for the answer key entry. The QA system pipeline is trained using the automatically generated training answer key data structure.

Abstract: Methods, systems, and articles of manufacture for organizing and selecting structures used to generate forms for capturing information as annotations made for a variety of different type data objects are provided. Some embodiments allow annotation structures to be associated with specific pairings of data object types and user roles via entries in a configuration file. When a user selects a set of one or more data objects for annotation, the configuration file may be accessed to determine a proper annotation structure for use in generating an annotation form based on the selected data objects and a role of the user.

Abstract: Methods, systems, and articles of manufacture for organizing and selecting structures used to generate forms for capturing information as annotations made for a variety of different type data objects are provided. Some embodiments allow annotation structures to be associated with specific pairings of data object types and user roles via entries in a configuration file. When a user selects a set of one or more data objects for annotation, the configuration file may be accessed to determine a proper annotation structure for use in generating an annotation form based on the selected data objects and a role of the user.

Abstract: Methods, systems, and articles of manufacture for proving global annotation services are disclosed. Global annotations are used to annotate a data element independently from the internal representation of a data element employed by a particular software application. Data elements are normalized into a form used by a global annotation system to identify the data element, and corresponding global annotations, independent from the application in which the data element may appear. An annotation cache may be used to store the global annotations that have been created for a particular data source, improving the efficiency of the global annotation system.

Abstract: Methods, systems, and articles of manufacture for proving global annotation services are disclosed. Global annotations are used to annotate a data element independently from the internal representation of a data element employed by a particular software application. Data elements are normalized into a form used by a global annotation system to identify the data element, and corresponding global annotations, independent from the application in which the data element may appear. An annotation cache may be used to store the global annotations that have been created for a particular data source, improving the efficiency of the global annotation system.

Abstract: Methods, systems, and articles of manufacture for organizing and selecting structures used to generate forms for capturing information as annotations made for a variety of different type data objects are provided. Some embodiments allow annotation structures to be associated with specific pairings of data object types and user roles via entries in a configuration file. When a user selects a set of one or more data objects for annotation, the configuration file may be accessed to determine a proper annotation structure for use in generating an annotation form based on the selected data objects and a role of the user.

Abstract: Methods, systems, and articles of manufacture for managing annotations made for a variety of different type data objects manipulated (e.g., created, edited, and viewed) by a variety of different type applications are provided. Some embodiments allow users collaborating on a project to create, view, and edit annotations from within the applications used to manipulate the annotated data objects, which may facilitate and encourage the capturing and sharing of tacit knowledge through annotations. Further, annotations may be stored separate from the application data they describe, decoupling the tacit knowledge captured in the annotations from the applications used to manipulate the annotated data.