Abstract: Mechanisms for automatically generating a set of test questions for use in generating a test to be administered to human test takers are provided. The mechanisms ingest a document from a corpus of documents to select a potential test question answer from the document and generate a candidate test question based on the potential test question answer. The mechanisms evaluate the candidate test question using a Question and Answer (QA) system to generate a result indicative of whether the candidate test question should be maintained for test generation. The mechanisms store the candidate test question in the set of test questions in response to a result indicating that the candidate test question should be maintained for test generation.

Abstract: A system for entity-level clarification in conversation services includes a memory having instructions therein. The system also includes at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive a conversation services training example set, build an entity usage map using the conversation services training example set, receive a user utterance, and, responsive to a reception of the user utterance, generate a clarification response using the entity usage map. The at least one processor is also configured to execute the instructions to provide the clarification response to a user.

Abstract: A method, computer program product, and a system where a processor(s) obtains data related to medical treatment and a current physical state of a given patient. The processor(s) cognitively analyzes the data to identify potential patient behavioral patterns of the given patient. The processor(s) obtains general patient data and correlates the general patient data with a portion of the data to identify elements in the general patient data with a potential impact on the identified potential patient behavioral patterns. The processor(s) determines impacts of the elements on the identified potential behavioral patterns and applies the impacts to generate a data structure comprising baseline behavioral patterns, i.e., a predictive model to utilize in determining probabilities that the given patient will exhibit behaviors comprising the baseline behavioral patterns during a defined future time interval.

Abstract: A method and system for preventing falls and accidents is provided comprising. A user's location and movement are monitored by a number of input devices. The user's activities are also monitored by a number of input devices. Potential dangers are identified within a first specified proximity of the user, and a determination is made if the user's current activity indicates a cognitive load that exceeds a predefined threshold. In response to identification of a potential danger within the first specified proximity and a concurrent determination that the user's cognitive load exceeds the threshold, a number of devices within a second specified proximity of the user are activated to alert the user of the potential danger.

Abstract: An approach is provided for an information handling system to present knowledge-based information. In the approach, a semantic analysis is performed on the document with the analysis resulting in various sets of semantic content. Each of the sets of semantic content corresponds to an area in the document. The areas of the document are visually highlighted using visual indicators that show the availability of the sets of semantic content to a user via a user interface. In response to a user selection, such as a selection using the user interface or a user specified configuration setting, a selected set of semantic content is displayed to the user using the interface.

Abstract: Aspects detect or recognize shifts in topics in computer implemented speech recognition processes as a function of mapping keywords to non-verbal cues. An initial topic is mapped to one or more keywords extracted from a first spoken query within a user keyword ontology mapping. A query spoken subsequent in time to the first query is identified and distinguished by recognizing one or more non-verbal cues associated with the audio data input that include a time elapsed between the queries, and in some aspects a user's facial expression or motion activity. Aspects determine whether the second spoken query is directed to the initial topic or to a new topic that is different from the initial topic, as a function of mappings of the keyword(s) extracted from the first query to one or more keywords extracted from the second query and to the non-verbal cue(s) within the user ontology mapping.

Abstract: Provided are embodiments for a method, system, and computer program product for operating a certified information verification service. Some embodiments include receiving an article including one or more claims, and extracting the one or more claims from the article. The one or more claims are analyzed by the one or more information verification services, and a report for the article is generated based on the analysis.

Abstract: Embodiments provide dynamic consumer incentive generation by generating a combination discount offer that provides a total discount value to a customer in response to verifying that the customer executes a commercial activity at each of different (first and second) ones of a discount grouping plurality of businesses, in response to determining that it is probable as a function of historic purchasing data that the customer will purchase an item from the first business when they make a purchase from the second business; and allocating different portions of the total discount value as costs to the first and second businesses that have different values determined as a function of a difference between a first probability that the customer will purchase an item from the first business and a second probability that the customer will purchase an item from the second business.

Abstract: A method and system for generating summary details is provided. The method includes retrieving event data of associated with a user. Attributes are extracted from the event data and the event data is segmented into logical groups of related activities performed by the user. Key information and associated attributes of each logical group are identified and in response the user is evaluated. The logical groups of related activities are ranked and presented to the user. In response, an engagement summary associated with the user and the logical groups is generated.

Abstract: Machine logic (for example, software) for creating layout for an advertisement and choosing a color scheme, with good color harmony, for the advertisement. Some embodiments are directed to testing how well people respond to advertisements laid out and colored created by the machine logic.

Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.

Abstract: A method, in a data processing system comprising a processor and a memory, for analyzing product impact, the method comprising receiving, by the data processing system, data representative of an entity's operations, receiving, by the data processing system, a selection of one or more products, parsing, by the data processing system, features of the one or more products from product data input, and generating, by the data processing system, product profiles for the one or more products based on the parsed features. The method further comprising generating, by the data processing system, risk assessment data based on the data representative of the entity's operations and the product profiles, the risk assessment data including an indication of one or more changes in risk metrics of one or more risk components associated with the entity's operations by offering the one or more products.

Abstract: An approach is provided for identifying entity relationships based on word classifications extracted from business documents stored in a plurality of corpora. In the approach, performed by an information handling system, a plurality of cluster classifications are identified for the business documents so that entity information from the business documents can be classified or assigned to the cluster classifications, such as by performing natural language processing (NLP) analysis of the business documents. The approach applies semantic analysis to identify and score entity relationships between the entity information classified in the cluster classifications, and based on the scored entity relationships, cluster relationships between the cluster classifications are identified.

Abstract: The program directs a computer processor to implement a program that selects at least one substitute ingredient for a food recipe based on a plurality of determined criteria. The program receives a food recipe comprising one or more ingredients, instructions, and preparation time. The program determines time constraints of a user. The program identifies one or more Internet of Things (IoT) enabled cooking devices that are available in a kitchen associated with the user to carry out the instructions of the food recipe. The program searches a market database in a market to identify available options for the at least one substitute ingredient found in the market database based on a similarity level of the at least one substitute ingredient compared with at least one ambiguous ingredient in the food recipe, and selects the at least one substitute ingredient according to the plurality of determined criteria.

Abstract: A system configured to provide dynamic help support in a chatbot application. The system includes memory for storing instructions, and a processor configured to execute the instructions to create a chatbot application using a chatbot development platform, wherein the chatbot application implements a dynamic user-support capability of the chatbot development platform; determine that a user of the chatbot application requires user assistance in interacting with the chatbot application; and provide the user with intent-examples using the dynamic user-support capability of the chatbot development platform.

Abstract: A computer-implemented method according to one embodiment includes identifying an entity to be filled in within a selected plurality of video frames, determining a three-dimensional (3D) model for the entity, and filling in the entity within the selected plurality of video frames, utilizing the 3D model.

Abstract: In an approach to personalizing a news feed, a computing device monitors a user accessing content. The computing device determines a personal knowledge graph for the user based on the accessed content. Responsive to receiving a new piece of content that the user has not accessed, the computing device determines a novelty score for the new piece of content based on the personal knowledge graph. The computing device filters the new piece of content based on the novelty score.

Abstract: A mechanism is provided, in a question answering (QA) system, for performing persona-based question answering is provided. An identification of a requested persona is received from a user along with a natural language question input specifying an input question to be answered by the QA system. Responsive to receiving the requested persona, components of the QA system are customized to answer questions from a viewpoint of the requested persona. An answer to the input question is generated from the viewpoint of the requested persona based on the customization of the components of the QA system. The answer to the input question is output in a form representative of the requested persona.

Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.

Abstract: A computer-implemented method according to one embodiment includes identifying an entity to be filled in within an image, determining a three-dimensional (3D) model for the entity, and filling in the entity within the image, utilizing the 3D model.