Abstract: A mechanism is provided for implementing an emergency response cognitive computing system. The emergency response cognitive computing system identifies a first party about which a communication is being performed between a caller and the emergency response system. The emergency response cognitive computing system generates, in real-time, a transcript of the communication as the communication is being conducted. The emergency response cognitive computing system performs natural language processing on the transcript of the communication to identify portions of content corresponding to medical concepts. The emergency response cognitive computing system processes patient information to identify elements of the patient information referencing concepts corresponding to medical concepts. The emergency response cognitive computing system outputs the elements of the patient information to a second party involved in the communication.

Abstract: A medical condition based content filter mechanism is provided that analyzes patient information associated with a patient to identify medical condition(s) associated with the patient and correlating the medical condition(s) with one or more medical condition content indicator data structures specifying negative content indicators and/or positive content indicators. A user specific content indicator dictionary data structure (USCID) is generated based on the correlation and used to process received content to filter out portions of the content matching the negative content indicators or present portions of the content matching the positive content indicators, thereby generating modified content that is output to the patient via a content access application executing on a computing device associated with the patient.

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: 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: 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 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: Visualizable subject matter contained within data is detected. A context in which the visualizable subject matter appears is determined. A visualization engine of a plurality of visualization engines is selected based, at least in part, on the context in which the visualizable subject matter appears. The visualization engine is configured to generate a visualization of the visualizable subject matter.

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.