Abstract: Systems, methods, and apparatus for communication assistance for aneurotypical individuals are described. Embodiments of the systems, methods, and apparatus may receive input data during a communication between a first user and a second user, generate feedback based on the input data using a shared network comprising psychological information about the second user, wherein the shared network is based at least in part on interactions between the second user and a third user, and provide the feedback to the first user during the communication.

Abstract: Provided are techniques for generating and customizing summarized notes. A template is selected from a plurality of templates based on a context using a machine learning model. The template includes one or more translatable string resources with variables to represent key attributes extracted from historical notes. A summarized note is generated using values of the key attributes for the variables in the translatable string resources of the template.

Abstract: Machine logic (for example, hardware, software) for determining when a human individual is presenting conflicting emotions, and presenting that information through an augmented reality (AR) system, such as by a visual text message displayed as an overlay display through AR goggles. Some embodiments also present information about how the situation with the human user, who is displaying the conflicting emotions, might be best handled by others interacting with that human individual. Some embodiments may use supervised and/or unsupervised machine learning (ML).

Abstract: Provided are techniques for a personalized, social navigation coach. While a commuter is commuting on a commute path, periodically, current conditions for the commute path are determined. One or more risk factors of having an accident based on the current conditions and a commute model are identified, where the one or more risk factors are associated with one or more icons, and where the commute model uses sensor data comprising historic data at different points in time. A graphic range is generated with an indicator that indicates an amount of risk of having an accident along the graphic range. The one or more icons and the graphic range are displayed.

Abstract: Systems, methods, and apparatus for communication assistance for aneurotypical individuals are described. Embodiments of the systems, methods, and apparatus may receive input data during a communication between a first user and a second user, generate feedback based on the input data using a shared network comprising psychological information about the second user, wherein the shared network is based at least in part on interactions between the second user and a third user, and provide the feedback to the first user during the communication.

Abstract: Provided are techniques for detecting and highlighting insightful comments in a thread of content. A context is determined for a thread of content including comments. Each of the comments in the thread of content is analyzed to determine which comments are insightful and which comments are not insightful. At least one of highlighting the comments that are insightful and hiding the comments that are not insightful are performed. Semantic relationships are used to provide supporting evidence and cross references to additional information for the comments that are related to the context.

Abstract: A computer-implemented method for depicting character dialogue within a story. The computer-implemented method includes identifying dialogue between one or more characters in the story using one or more natural langue processing techniques. The computer-implemented method further includes creating a knowledge graph, wherein the knowledge graph comprises each of the one or more characters in the story, a relationship between each of the one or more characters in the story, and a role for each of the one or more characters in the story. The computer-implemented method further includes depicting the dialogue between the one or more characters, based on one or more characteristics of the one or more characters during the dialogue.

Abstract: A first user of a first device transmits information to a second user of a second device located within a predetermined distance from the first device, wherein an ad-hoc network is formed from the first device and the second device. In response to determining that the information is likely to be of interest to other users, the information is propagated from the second user of the second device, to a third user of a third device within the predetermined distance from the second device, and the third device is included in the ad-hoc network.

Abstract: A system, a method, and a computer program product for managing answer feasibility in a Question and Answering (QA) system. A set of candidate situations is established. The set of candidate situations corresponds to a first set of answers. A QA system establishes the set of candidate situations by analyzing a corpus. The first set of answers will answer a question. The QA system identifies a subset of the set of candidate situations. The subset of candidate situations corresponds to a portion of contextual data. The portion of contextual data is from a set of contextual data. The set of contextual data relates to the question. The question-answering system determines a set of answer feasibility factors. The set of answer feasibility factors is determined using the subset of candidate situations. The set of answer feasibility factors indicates the feasibility of the answers in the first set of answers.

Abstract: A system, a method, and a computer program product for managing answer feasibility in a Question and Answering (QA) system. A set of candidate situations is established. The set of candidate situations corresponds to a first set of answers. A QA system establishes the set of candidate situations by analyzing a corpus. The first set of answers will answer a question. The QA system identifies a subset of the set of candidate situations. The subset of candidate situations corresponds to a portion of contextual data. The portion of contextual data is from a set of contextual data. The set of contextual data relates to the question. The question-answering system determines a set of answer feasibility factors. The set of answer feasibility factors is determined using the subset of candidate situations. The set of answer feasibility factors indicates the feasibility of the answers in the first set of answers.

Abstract: A container agent executing on the mobile device receives a container from a container manager server in response to the mobile device being within the predetermined proximity of the physical location. The container comprises instructions that modify the original functionality of the mobile device. The container agent monitors operation of the mobile device to determine if the operation satisfies a triggering condition for execution of the container, and if so, executes the container. In response to the mobile device leaving the predetermined proximity of the physical location, the container agent removes the container from the mobile device and restores the original functionality of the mobile device.

Abstract: Managing answers in a question-answering environment is disclosed. Managing answers in the question-answering environment can include sorting, based on a set of answer categories for a subject matter, a first set of answers into a first answer category and a second set of answers into a second answer category. Managing answers in the question-answering environment can include determining, using the subject matter, a first category sequence including the first answer category and the second answer category, and establishing, based on the first category sequence, a first answer sequence established from a portion of the first set of answers from the first answer category and a portion of the second set of answers from the second answer category.

Abstract: Managing answers in a question-answering environment is disclosed. Managing answers in the question-answering environment can include sorting, based on a set of answer categories for a subject matter, a first set of answers into a first answer category and a second set of answers into a second answer category. Managing answers in the question-answering environment can include determining, using the subject matter, a first category sequence including the first answer category and the second answer category, and establishing, based on the first category sequence, a first answer sequence established from a portion of the first set of answers from the first answer category and a portion of the second set of answers from the second answer category.

Abstract: Provided are techniques for generating and customizing summarized notes. A template is selected from a plurality of templates based on a context using a machine learning model. The template includes one or more translatable string resources with variables to represent key attributes extracted from historical notes. A summarized note is generated using values of the key attributes for the variables in the translatable string resources of the template.

Abstract: A processor uses natural language processing to ingest product reviews for a plurality of products. Each of the products embodies a specific form for each of the plurality of product features. The processor analyzes the ingested product reviews for sentiments associated with the specific forms. The processor generates a sentiment score for each product feature based on the analysis. The processor ranks the plurality of product features based on the sentiment scores.

Abstract: Provided are techniques for a personalized, social navigation coach. While a commuter is commuting on a commute path, periodically, current conditions for the commute path are determined. One or more risk factors of having an accident based on the current conditions and a commute model are identified, where the one or more risk factors are associated with one or more icons, and where the commute model uses sensor data comprising historic data at different points in time. A graphic range is generated with an indicator that indicates an amount of risk of having an accident along the graphic range. The one or more icons and the graphic range are displayed.

Abstract: Provided are techniques for detecting and highlighting insightful comments in a thread of content. A context is determined for a thread of content including comments. Each of the comments in the thread of content is analyzed to determine which comments are insightful and which comments are not insightful. At least one of highlighting the comments that are insightful and hiding the comments that are not insightful are performed. Semantic relationships are used to provide supporting evidence and cross references to additional information for the comments that are related to the context.

Abstract: A computer-implemented method for cognitive matching of narrative data may include collecting a set of data for a party and determining, by analyzing the set of data, an identifiable event for the party. In addition, the method may include identifying, using the identifiable event, a relevant feature of a corpus and providing an output corresponding to the relevant feature.

Abstract: A cognitive matching of narrative data mechanism may include a collecting module configured to collect a set of data for a party and a determining module configured to determine, by analyzing the set of data, an identifiable event for the party. The mechanism may include an identifying module configured to identify, using the identifiable event, a relevant feature of a corpus, and a providing module configured to provide an output corresponding to the relevant feature.

Abstract: Techniques disclose validating user-provided text feedback for topical relevance relative to a question asked. A form with at least a first field is received. The first field includes unstructured text content provided as feedback in response to a question. The unstructured text content of the first field is evaluated to identify an answer type. A measure of relevance of the unstructured text content relative to the question is determined based on the evaluation.