Abstract: A data structure is generated containing enumerators for data types of a domain, text forms of the enumerators and context patterns for the text forms. The data structure also includes information extraction rules that are associated with the enumerators. The data structure is updated with additional context patterns and text forms that are identified within a set of documents to which text analytic annotators are to be tuned. The set of documents are analyzed against the updated data structure and additional extraction rules are generated based on the analysis.

Abstract: Medical data for transcription into a medical record is received. As the medical data is received, in real time: a computer-understandable meaning of text contained in the medical data can be identified by performing natural language processing on the text contained in the medical data; at least one medical transcription rule that applies to the medical data can be identified by processing the computer-understandable meaning of the text contained in the medical data; whether the medical data is incomplete can be determined by processing the computer-understandable meaning of text using the at least one medical transcription rule; and, responsive to determining that the medical data is incomplete, at least one annotation can be added to the medical record, the at least one annotation indicating data that is missing from the medical record and where in the medical record the data is missing.

Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.

Abstract: In an approach to variable authentication, one or more computer processors receive a request to access secure data from a computing device. The one or more computer processors receive geolocation data associated with the computing device. The one or more computer processors compare the geolocation data to authentication parameters associated with the computing device to determine if the geolocation data falls within the authentication parameters. The one or more computer processors determine whether the geolocation data falls within the authentication parameters. If the geolocation data does not, the one or more computer processors send a request for authentication from the computing device via an authentication method wherein the authentication method corresponds to an identified location and time of the computing device associated with the request to access secure data and a time associated with the request to access secure data. The one or more computer processors receive the authentication.

Abstract: In an approach for parallelizing document processing in an information handling system, a processor receives a document, wherein the document includes text content. A processor extracts information from the text content, utilizing natural language processing and semantic analysis, to form tokenized semantic partitions, comprising a plurality of sub-documents. A processor schedules a plurality of concurrently executing threads to process the plurality of sub-documents.

Abstract: In an approach for parallelizing document processing in an information handling system, a processor receives a document, wherein the document includes text content. A processor extracts information from the text content, utilizing natural language processing and semantic analysis, to form tokenized semantic partitions, comprising a plurality of sub-documents. A processor schedules a plurality of concurrently executing threads to process the plurality of sub-documents.

Abstract: According to an embodiment of the present invention, a system dynamically produces a document with transformed terms associated with a geographic location, and comprises a computer system including at least one processor. The system analyzes a retrieved document to identify one or more terms with equivalent expressions in the same natural language. Each of the identified terms is transformed into an equivalent expression based on at least a geographic location associated with a user. The system produces a transformed document by replacing the identified one or more terms in the retrieved document with the equivalent expressions associated with the geographic location. Embodiments of the present invention further include a method and computer program product for dynamically producing a document with transformed terms for a geographic location in substantially the same manner described above.

Abstract: In an approach to variable authentication, one or more computer processors receive a request to access secure data from a computing device. The one or more computer processors receive geolocation data associated with the computing device. The one or more computer processors compare the geolocation data to authentication parameters associated with the computing device to determine if the geolocation data falls within the authentication parameters. The one or more computer processors determine whether the geolocation data falls within the authentication parameters. If the geolocation data does not, the one or more computer processors send a request for authentication from the computing device via an authentication method wherein the authentication method corresponds to an identified location and time of the computing device associated with the request to access secure data and a time associated with the request to access secure data. The one or more computer processors receive the authentication.

Abstract: In an approach to variable authentication, one or more computer processors receive a request to access secure data from a computing device. The one or more computer processors receive geolocation data associated with the computing device. The one or more computer processors compare the geolocation data to authentication parameters associated with the computing device to determine if the geolocation data falls within the authentication parameters. The one or more computer processors determine whether the geolocation data falls within the authentication parameters. If the geolocation data does not, the one or more computer processors send a request for authentication from the computing device via an authentication method wherein the authentication method corresponds to an identified location and time of the computing device associated with the request to access secure data and a time associated with the request to access secure data. The one or more computer processors receive the authentication.

Abstract: Provided are techniques for a domain specific representation of document text for accelerated natural language processing. A document is selected from a set of documents to be analyzed. A character stream from the document is converted into a token stream based on tokenization rules. Irrelevant tokens are removed from the token stream. The tokens remaining in the token stream are converted into an integer domain representation based on a domain specific ontology dictionary. The integer domain representation are stored to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs. Then, a result set is received from the one or more GPUs.

Abstract: A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.

Abstract: A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule. The computer-implemented method further includes filtering the candidate statement based on a domain-specific model for the domain and including the candidate statement in training data provided to a machine learning model. A corresponding computer program product and computer system are also disclosed.

Abstract: A computer-implemented method includes receiving a rule, wherein the rule includes at least one token, and receiving at least two dictionaries, wherein the at least two dictionaries include at least one general language dictionary and at least one domain-specific dictionary for a domain. The computer-implemented method further includes, for each of the at least one token, selecting at least one word at random from at least one of the at least two dictionaries and adding the at least one word to a test data line, such that the test data line includes a candidate statement conforming to the rule. The computer-implemented method further includes filtering the candidate statement based on a domain-specific model for the domain and including the candidate statement in training data provided to a machine learning model. A corresponding computer program product and computer system are also disclosed.

Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.

Abstract: A computer system gleans data from patient records and clinical trial descriptions using NLP techniques. NLP annotation data is used to generate clinical trial feature vectors and patient feature vectors. Clinical trial feature vectors and patient feature vectors are compared to match appropriate patient candidates with clinical trial openings.

Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.

Abstract: A method, a processing device, and a computer program product are provided. At least one processing device correlates textual medical information related to the subject with characteristics of an image of a medical condition of the subject to generate a subject signature. The at least one processing device compares the subject signature with multiple reference signatures to determine at least one reference signature corresponding to the subject signature. Each reference signature is associated with a corresponding medical condition and is generated by correlating textual medical information regarding the corresponding medical condition with characteristics of an image of the corresponding medical condition. The at least one processing device identifies the medical condition of the subject based on the medical conditions associated with the determined at least one reference signature. Information is provided regarding the identified medical condition of the subject.

Abstract: A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.

Abstract: A method for providing annotation summaries for annotations is provided. The method may include receiving annotations associated with analyzed unstructured data. The method may further include sorting the received annotations. Additionally, the method may include receiving focal points on the analyzed unstructured data. The method may also include extracting the sorted annotations associated with the focal points. The method may further include normalizing terms and phrases associated with the extracted annotations. The method may also include determining topics based on the normalized terms and phrases associated with the extracted annotations. The method may further include grouping the extracted annotations based on the determined topics. The method may also include summarizing the grouped annotations to generate a summarized annotation. The method may further include replacing the extracted annotations with the summarized annotation.

Abstract: According to an embodiment of the present invention, a system dynamically produces a document with transformed terms associated with a geographic location, and comprises a computer system including at least one processor. The system analyzes a retrieved document to identify one or more terms with equivalent expressions in the same natural language. Each of the identified terms is transformed into an equivalent expression based on at least a geographic location associated with a user. The system produces a transformed document by replacing the identified one or more terms in the retrieved document with the equivalent expressions associated with the geographic location. Embodiments of the present invention further include a method and computer program product for dynamically producing a document with transformed terms for a geographic location in substantially the same manner described above.