Abstract: Mechanisms are provided for processing natural language content. The mechanisms receive natural language content and analyze the natural language content to generate a parse tree data structure. The mechanisms process the parse tree data structure to identify one or more instances of hypothetical spans in the natural language content. The hypothetical spans are terms or phrases indicative of a hypothetical statement. The mechanisms perform an operation based on the natural language content. The operation is performed with portions of the natural language content corresponding to the one or more identified instances of hypothetical spans being given different relative weights within portions of the natural language content than other portions of the natural language content.

Abstract: A computer processor may receive medical data including a report and an image. The computer processor may analyze the report using natural language processing to identify a condition and a corresponding criterion. The computer processor may also analyze the image using an image processing model to generate an image analysis. The computer processor may determine whether the report has a potential problem by comparing the image analysis to the criterion.

Abstract: A computer processor may receive medical data including a report and an image. The computer processor may analyze the report using natural language processing to identify a condition and a corresponding criterion. The computer processor may also analyze the image using an image processing model to generate an image analysis. The computer processor may determine whether the report has a potential problem by comparing the image analysis to the criterion.

Abstract: First content containing a plurality of list items in one or more lists can be parsed for conjunctions and implied list indicators. One or more modifications can occur at one or more conjunctions or implied list indicators. The one or more modifications can comprise one or more of expanding text, contracting text, and replacing text. The one or more modifications can generate second content conducive to natural language processing operations.

Abstract: A technique of improving input text processing in a data processing system that answers questions includes receiving a question from a user. The question has associated supporting original input text that is utilized in answering the question. Corrective measures are applied to the supporting original input text to create supporting revised input text. The supporting revised input text documents corrective measures applied to the supporting original input text. An answer to the question is generated based on, at least in part, the supporting revised input text. The supporting original input text is recreated from the supporting revised input text based on the documented corrective measures in the supporting revised input text subsequent to generating the answer. The answer and the supporting original input text as recreated are transmitted to the user.

Abstract: A computer processor may receive medical data including a report and an image. The computer processor may analyze the report using natural language processing to identify a condition and a corresponding criterion. The computer processor may also analyze the image using an image processing model to generate an image analysis. The computer processor may determine whether the report has a potential problem by comparing the image analysis to the criterion.

Abstract: A computer processor may receive medical data including a report and an image. The computer processor may analyze the report using natural language processing to identify a condition and a corresponding criterion. The computer processor may also analyze the image using an image processing model to generate an image analysis. The computer processor may determine whether the report has a potential problem by comparing the image analysis to the criterion.

Abstract: A mechanism is provided in a question answering system for duration similarity weighting in a question answering system. The question answering system receives an input question. The question answering system generates a plurality of candidate answers to the input question using a corpus of information. The question answering system identifies a question-side duration value for the input question and identifies a policy-side duration value for a policy to be applied to an entity identified in the input question. The question answering system determines a duration similarity weight for each of the plurality of candidate answers. The question answering system applies the duration similarity weight to each of the plurality of candidate answers. The question answering system ranks the plurality of candidate answers and outputs one or more of the candidate answers.

Abstract: An approach is provided to generate forms with template inclusions. In the approach, optical character recognition (OCR) text is compared to corresponding text in a selected form. Characters of text in the OCR text are then replaced with text from the template text, the replacing results in a form with template inclusions. The form with template inclusions is then processed by a forms processing operation.

Abstract: A mechanism is provided in a question answering system for duration similarity weighting in a question answering system. The question answering system receives an input question. The question answering system generates a plurality of candidate answers to the input question using a corpus of information. The question answering system identifies a question-side duration value for the input question and identifies a policy-side duration value for a policy to be applied to an entity identified in the input question. The question answering system determines a duration similarity weight for each of the plurality of candidate answers. The question answering system applies the duration similarity weight to each of the plurality of candidate answers. The question answering system ranks the plurality of candidate answers and outputs one or more of the candidate answers.

Abstract: A mechanism is provided in a question answering system for duration similarity weighting in a question answering system. The question answering system receives an input question. The question answering system generates a plurality of candidate answers to the input question using a corpus of information. The question answering system identifies a question-side duration value for the input question and identifies a policy-side duration value for a policy to be applied to an entity identified in the input question. The question answering system determines a duration similarity weight for each of the plurality of candidate answers. The question answering system applies the duration similarity weight to each of the plurality of candidate answers. The question answering system ranks the plurality of candidate answers and outputs one or more of the candidate answers.

Abstract: An approach is provided to generate forms with template inclusions. In the approach, optical character recognition (OCR) text is compared to corresponding text in a selected form. Characters of text in the OCR text are then replaced with text from the template text, the replacing results in a form with template inclusions. The form with template inclusions is then processed by a forms processing operation.

Abstract: Mechanisms for performing a duration-based operation are provided. At least one document is received having a plurality of associated dates and/or times and concepts associated with the dates and/or times. The at least one document does not explicitly specify a duration between the dates and/or times. Dates and/or times in the at least one document having similar associated concepts are correlated and, for the correlated dates and/or times, an implicit duration is calculated based on the dates and/or times. The concepts are associated with the implicit duration and a first document in the at least one document is annotated with an implicit duration annotation that specifies the implicit duration and the associated concepts. A duration based operation is then performed based on the implicit duration annotation.

Abstract: Mechanisms for performing a duration-based operation are provided. At least one document is received having a plurality of associated dates and/or times and concepts associated with the dates and/or times. The at least one document does not explicitly specify a duration between the dates and/or times. Dates and/or times in the at least one document having similar associated concepts are correlated and, for the correlated dates and/or times, an implicit duration is calculated based on the dates and/or times. The concepts are associated with the implicit duration and a first document in the at least one document is annotated with an implicit duration annotation that specifies the implicit duration and the associated concepts. A duration based operation is then performed based on the implicit duration annotation.

Abstract: A mechanism is provided in a question answering system for duration similarity weighting in a question answering system. The question answering system receives an input question. The question answering system generates a plurality of candidate answers to the input question using a corpus of information. The question answering system identifies a question-side duration value for the input question and identifies a policy-side duration value for a policy to be applied to an entity identified in the input question. The question answering system determines a duration similarity weight for each of the plurality of candidate answers. The question answering system applies the duration similarity weight to each of the plurality of candidate answers. The question answering system ranks the plurality of candidate answers and outputs one or more of the candidate answers.

Abstract: Mechanisms are provided for resolving annotation conflicts in a portion of content. A portion of content is received and annotation operations are performed on it using a plurality of annotators. Each annotator in the plurality of annotators generates a set of annotations for the portion of content, thereby generating a plurality of sets of annotations for the portion of content. The plurality of sets of annotations are analyzed to identify a conflict between a first annotation and a second annotation in the plurality of sets of annotations. The conflict between the first annotation and the second annotation is resolved to generate a resultant set of annotations for the portion of content. The resultant set of annotations is stored in an annotations data structure associated with the portion of content.

Abstract: Techniques are disclosed for deploying an application. In one embodiment, a packaging tool determines that an error exists in a packaged application. The packaging tool may guide a user in fixing the error by updating the packaging tool and repackaging the application using the updated packaging tool. The packaging tool may guide the user via one or more notifications output for display to the user.

Abstract: Techniques are disclosed for deploying an application. In one embodiment, a packaging tool determines that an error exists in a packaged application. The packaging tool may guide a user in fixing the error by updating the packaging tool and repackaging the application using the updated packaging tool. The packaging tool may guide the user via one or more notifications output for display to the user.

Abstract: Maintaining Multiple Valid Concurrent Serialized Object Versions Techniques are disclosed for concurrently maintaining serialized objects that were created from more than one version of a class definition. According to preferred embodiments, a component maps and enforces multiple valid stream-unique version identifiers (“SUIDs”) for a collection of class definitions (such as the classes of a software product that is undergoing change from one version to another). This component programmatically detects when an object's SUID value does not match the code attempting to deserialize the object, and then programmatically determines whether the object is compatible with the code even though the SUID values do not match. Preferably, this determination is made by consulting a stored mapping, in which the SUIDs of compatible versions have been recorded.

Abstract: Techniques for enabling a validating parser to interpret a schema, where that schema may have been extended to multiple levels, and to perform the validation of a structured document according to the extended schema while still allowing a consumer application to request objects or events that are cast at some different level of the schema (including the base schema). Validating the source document according to an extended (i.e., more specific) schema enables improved detection of syntax errors. At the same time, casting objects and events from the parsed document to a level requested by the consumer application allows the consumer to receive only those objects or events for which it is adapted, without requiring the consumer application to include extra code to deal with objects or events it does not recognize in the parser's output. Preferably, the parser simply discards those objects or events which this consumer is not interested in receiving.