Abstract: A computer-implemented computer documentation validation method, the method comprising; translating a natural language of a computer software documentation into a machine instruction, the machine instruction including a back pointer indicating the location in the computer software documentation from which the machine instruction is translated; executing the translated machine instruction on a software product configured for the computer software documentation; and highlighting a location in the computer software documentation where an error occurs during the executing the translated machine instruction.

Abstract: A query expansion method, system, and computer program product, include establishing a context of a query to execute the query within a search index by labeling phrases of interest of the query, expanding of the phrases of interest based on a language model and a topic model, and identifying and incorporating an available historical query into the context according to a historical phrase of interest and an expansion of one or more historical phrases of interest, and retrieving and displaying one or more search results based on the query and the context of the query as a first visual mark indicating a linkage between one or more terms of the query and the one or more search results and a second visual mark indicating an alignment between the available historical query and a match to the terms of the query and the search result.

Abstract: A computer documentation validation method, system, and computer program product, include translating a natural language of a computer software documentation into a machine instruction, detecting an error in the computer software documentation during an execution of the machine instruction on a software for the computer software documentation, and highlighting a location in the computer software documentation including the error detected by the detecting

Abstract: A method and system are provided for assisting a user performing a procedure. The method includes capturing, by a camera, images of user activity while the user is performing the procedure. The method further includes converting, by computer processing system, the images of user activity into a text representation of user activity. The method also includes comparing, by the computer processing system, the textual representation of user activity to procedure documentation. The method additionally includes at least one of visually and audibly indicating, by a display and a speaker, a corrective action to the user responsive to a mismatch result from said comparing step.

Abstract: Techniques for drone device control are provided. In one example, a computer-implemented method comprises: meeting, by a drone device operatively coupled to a processor, an aircraft at a first location; and guiding, by the drone device, the aircraft to a second location along a ground movement path selected from a plurality of ground movement paths associated with an airport. The guiding can comprise providing a direction indication to the aircraft; and monitoring a defined region around the aircraft for one or more hazards. The guiding can also comprise, in response to identifying a hazard from the one or more hazards related to the defined region around the aircraft, providing a hazard indication to the aircraft.

Abstract: Embodiments are directed to a computer implemented method and system of proactively caching content for a mobile electronic device. The method includes determining the location of a mobile electronic device, predicting the location of the mobile electronic device, including a prediction of when the mobile electronic device will be in a location of low or no network connectivity. The data that will be retrieved while the mobile electronic device is not connected to the network is also predicted. Thereafter, the predicted data that will be retrieved is downloaded prior to losing network connectivity so that it can be accessed from memory while the mobile electronic device has low or no network connectivity. Other embodiments are also described.

Abstract: A power tool accident prevention method, system, and non-transitory computer readable medium receiving images from a static camera of a setup or operation of a power tool, include a danger identification circuit configured to: analyze the images to identify inherent dangers in the setup or the operation of the power tool, and identify at least one potential cause of an accident based on the identified inherent dangers, and a power tool disabling circuit configured to activate an emergency safety measure of the power tool to avoid the at least one potential cause of the accident.

Abstract: A method and system are provided for assisting a user performing a procedure. The method includes capturing, by a camera, images of user activity while the user is performing the procedure. The method further includes converting, by computer processing system, the images of user activity into a text representation of user activity. The method also includes comparing, by the computer processing system, the textual representation of user activity to procedure documentation. The method additionally includes at least one of visually and audibly indicating, by a display and a speaker, a corrective action to the user responsive to a mismatch result from said comparing step.

Abstract: A method and system are provided for combining models. The method includes forming, by a computer having a processor and a memory, model pairs from a model ensemble that includes a plurality of models. The method further includes comparing the model pairs based on sets of output results produced by the model pairs to provide comparison results. The method also includes constructing, by the computer, a combination model from at least one of the model pairs based on the comparison results. The comparing step is performed using user-generated set-based feedback.

Abstract: A project documentation method, system, and non-transitory computer readable medium, include a matching circuit configured to match the multimodal communications between users stored in the database to the project, an identification circuit configured to associate a chat thread of the multimodal communications to a sub-project of the project, a relating circuit configured to relate words of the chat thread and words in text of the project, an extracting and creating circuit configured to extract text of the chat thread that is relevant to the text of the project and create a document including the relevant text of the chat thread, and a decision circuit configured to decide whether to update the document including the relevant text created by the extracting and creating circuit with newly extracted text based on a similarity between data of the document and the newly extracted text to avoid redundancies within the created document.

Abstract: A personalized scheduling and networking method, system, and non-transitory computer readable medium include creating a user persona profile based on user information, extracting scheduling and networking information based on event information, matching a user with events during a conference based on the extracted scheduling and networking information and the user persona profile, and creating a schedule and a route for maximizing a number of the events and networking opportunities based on matches of the matching.

Abstract: A method for automatically extracting and organizing information by a processing device from a plurality of data sources is provided. A natural language processing information extraction pipeline that includes an automatic detection of entities is applied to the data sources. Information about detected entities is identified by analyzing products of the natural language processing pipeline. Identified information is grouped into equivalence classes containing equivalent information. At least one displayable representation of the equivalence classes is created. An order in which the at least one displayable representation is displayed is computed. A combined representation of the equivalence classes that respects the order in which the displayable representation is displayed is produced.

Abstract: An analytics engine operates on data associated with users and opportunities. A broker system provides the opportunity data to the analytics engine, but the analytics engine does not provide user data to the broker system. The analytics engine notifies users of results of analytics operations.

Abstract: Creating training data for a natural language processing system may comprise obtaining natural language input, the natural language input annotated with one or more important phrases; and generating training instances comprising a syntactic parse tree of nodes representing elements of the natural language input augmented with the annotated important phrases. In another aspect, a classifier may be trained based on the generated training instances. The classifier may be used to predict one or more potential important phrases in a query.

Abstract: A method, system, and/or computer program product displays related content on a user interface. An initial electronic document is analyzed to identify a mention in the initial electronic document. A mention descriptor of the mention in the initial electronic document is generated according to a context of the initial electronic document. The mention descriptor is mapped to a disambiguation identifier from a knowledge base that contains an entity related to the mention, where the disambiguation identifier identifies the entity within the knowledge base. The disambiguation identifier is associated with the initial electronic document, and is also associated with an entity metadata visualization panel. The disambiguation identifier is associated with the entity metadata visualization panel by mapping the entity metadata visualization panel to the disambiguation identifier.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems, including methods for generating visualizations. On a client side, a user request is received for an inter-entity call visualization. Code analysis data is accessed. A visualization model is built. The visualization is shown. User inputs are received for interacting with the visualization. The visualization is updated based on the received user inputs. On a server side, a request is received for code analysis data. The requested data collected, including running analyzers for any available data. The requested data is sent. The code analysis data can be used for other purposes than visualizations.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems, including methods for generating visualizations. On a client side, a user request is received for an inter-entity call visualization. Code analysis data is accessed. A visualization model is built. The visualization is shown. User inputs are received for interacting with the visualization. The visualization is updated based on the received user inputs. On a server side, a request is received for code analysis data. The requested data collected, including running analyzers for any available data. The requested data is sent. The code analysis data can be used for other purposes than visualizations.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems, including methods for generating visualizations. On a client side, a user request is received for an inter-entity call visualization. Code analysis data is accessed. A visualization model is built. The visualization is shown. User inputs are received for interacting with the visualization. The visualization is updated based on the received user inputs. On a server side, a request is received for code analysis data. The requested data collected, including running analyzers for any available data. The requested data is sent. The code analysis data can be used for other purposes than visualizations.

Abstract: Cascaded models may be applied to extract facts from a medical text. A first model may be applied to at least a portion of the medical text. The first model extracts at least one first medical fact. The at least one first medical fact is linked to at least first text in the at least a portion of the medical text. A second model may be applied to the first text. The second model extracts at least one second fact that is an attribute of the at least one first medical fact.

Abstract: Creating training data for a natural language processing system may comprise obtaining natural language input, the natural language input annotated with one or more important phrases; and generating training instances comprising a syntactic parse tree of nodes representing elements of the natural language input augmented with the annotated important phrases. In another aspect, a classifier may be trained based on the generated training instances. The classifier may be used to predict one or more potential important phrases in a query.