Abstract: A spreadsheet population method, system, and computer program product include associating text with a spreadsheet, the text including candidate data items for populating the spreadsheet, building a multi-dimensional analogy model where each dimension comprises a unique pair of data items where the data items co-occur within a same context window, accepting example data items in the spreadsheet where the data items form tuples in a same implicit relationship according to a spatial configuration, and performing an assistance operation on the spreadsheet using the data item tuples retrieved using the analogy model from the example data items.

Abstract: Methods, systems, and computer program products for iterative and targeted feature selection are provided herein. A computer-implemented method includes generating a first prediction value for a variable attribute of a set of objects by executing a predictive model that comprises a set of features for the set of objects; evaluating the prediction error of the predictive model based on said first prediction value; generating additional features upon a determination that the prediction error exceeds a threshold; incorporating the additional features into the predictive model, generating an updated predictive model; generating a second prediction value for the variable attribute by executing the updated predictive model; evaluating the prediction error of the updated predictive model based on said second prediction value; and outputting the second prediction value to a user upon a determination that the prediction error of the updated predictive model is below the threshold.

Abstract: A method, apparatus and computer program product for responding to an indirect utterance in a dialogue between a user and a conversational system is described. An indirect utterance is received. A parse structure of the indirect utterance is generated. The indirect utterance is an utterance which does not match a user goal expressed as elements of a knowledge graph. The parse structure is connected through the knowledge graph to a user goal to issue a user request which is not stated in the indirect utterance. The parse structure is connected using a matching process which matches the parse structure with the connected user goal in the knowledge graph according to a similarity of the parse structure and a portion of the knowledge graph including the connected user goal. A system response is performed based on the connected user goal.

Abstract: Mechanisms are provided for conducting a natural language dialogue between the automatic dialogue system and a user of a client computing device. An automatic dialogue system receives natural language text corresponding to a user input from the user via the client computing device, the natural language text having an ambiguous portion of natural language text. The automatic dialogue system analyzes user profile information corresponding to the user to identify an anomaly in the user profile information and predicts a user intent associated with the anomaly. The automatic dialogue system disambiguates the ambiguous portion of the natural language text based on the predicted user intent and generates a response to the user input based on the disambiguated natural language text which is output to the client computing device to thereby conduct the natural language dialogue.

Abstract: A policy violation detection computer-implemented method, system, and computer program product, includes extracting a policy activity from a policy, the policy activity including an actor in the policy, an object of the policy, an action of the policy, and policy scope metadata, capturing a transaction by a user including metadata of the transaction, translating the transaction by the user into an actor in the transaction, an action of the transaction, and an object of the transaction, and alerting the user of a policy violation by navigating a knowledge graph is-a hierarchy to relate the actor in the transaction to the actor in the policy, the object of the transaction to an object of the policy, and the action of the transaction to an action of the policy activity.

Abstract: A method, apparatus and computer program product for responding to an indirect utterance in a dialog between a user and a conversational system is described. An indirect utterance is received. A parse structure of the indirect utterance is generated. The indirect utterance is an utterance which does not match a user goal expressed as elements of a knowledge graph. The parse structure is connected through the knowledge graph to a user goal to issue a request which is not stated in the indirect utterance. A system response is performed, where the system response is a dialog system response based on a combination of the parse structure and the connected user goal.

Abstract: A policy violation detection computer-implemented method, system, and computer program product, includes extracting a policy activity from a policy, the policy activity including an actor in the policy, an object of the policy, an action of the policy, and policy scope metadata, capturing a transaction by a user including metadata of the transaction, translating the transaction by the user into an actor in the transaction, an action of the transaction, and an object of the transaction, and alerting the user of a policy violation by navigating a knowledge graph is-a hierarchy to relate the actor in the transaction to the actor in the policy, the object of the transaction to an object of the policy, and the action of the transaction to an action of the policy activity.

Abstract: Systems and methods for providing privacy control for digital capture of a recording include identifying a person within a digital capture that is a recording of a person within an environment based on received information regarding the person. A disposition tag is associated with an identified person in the recording. The disposition tag references a privacy control action to take according to privacy constraints for the person. Coordinates in the recording where the privacy control action is to be applied are determined.

Abstract: Mechanisms are provided for conducting a natural language dialogue between the automatic dialogue system and a user of a client computing device. An automatic dialogue system receives natural language text corresponding to a user input from the user via the client computing device, the natural language text having an ambiguous portion of natural language text. The automatic dialogue system analyzes user profile information corresponding to the user to identify an anomaly in the user profile information and predicts a user intent associated with the anomaly. The automatic dialogue system disambiguates the ambiguous portion of the natural language text based on the predicted user intent and generates a response to the user input based on the disambiguated natural language text which is output to the client computing device to thereby conduct the natural language dialogue.

Abstract: Embodiments include methods, systems, and computer program products for detection and remediation of anxiety. Aspects include receiving an anxiety indicator. Aspects also include analyzing the anxiety indicator to determine whether an anxiety level exceeds an anxiety threshold. Aspects also include, based upon a determination that the anxiety level exceeds the anxiety threshold, selecting a first sound. Aspects also include outputting the first sound. Aspects also include receiving an anxiety feedback. Aspects also include determining, based upon the anxiety feedback, whether the anxiety level is decreasing.

Abstract: Mechanisms are provided for customizing responses to future questions based on identified anomalies in user profile information. An automated dialogue system monitors information associated with a plurality of entities, where the information includes quantities for variable values associated with the entities. The automated dialogue system, in response to determining that a quantity of a variable value associated with an entity in the plurality of entities has changed by an amount equal to or exceeding a corresponding threshold value, generates response information associated with a quantity of the variable value and an entity to respond to at least one future question. In addition, the automated dialogue system stores the responsive information in association with the entity for later retrieval in response to initiation of a dialogue session with the automated dialogue system. Time thresholds may be established for determining when to stop using the responsive information for responding to questions.

Abstract: Mechanisms are provided for conducting a natural language dialog between the automatic dialog system and a user of a client computing device. An automatic dialog system receives natural language text corresponding to a user input from the user via the client computing device, the natural language text having an ambiguous portion of natural language text. The automatic dialog system analyzes user profile information corresponding to the user to identify an anomaly in the user profile information and predicts a user intent associated with the anomaly. The automatic dialog system disambiguates the ambiguous portion of the natural language text based on the predicted user intent and generates a response to the user input based on the disambiguated natural language text which is output to the client computing device to thereby conduct the natural language dialog.

Abstract: Embodiments include methods, systems, and computer program products for detection and remediation of anxiety. Aspects include receiving an anxiety indicator. Aspects also include analyzing the anxiety indicator to determine whether an anxiety level exceeds an anxiety threshold. Aspects also include, based upon a determination that the anxiety level exceeds the anxiety threshold, selecting a first sound. Aspects also include outputting the first sound. Aspects also include receiving an anxiety feedback. Aspects also include determining, based upon the anxiety feedback, whether the anxiety level is decreasing.

Abstract: A method, executed by a computer, includes receiving movement data and distracting conditions data corresponding to one or more driving sessions for a user and identifying a potentially distracting condition for the user encountered during the one or more driving sessions. The method also includes determining one or more distraction-free intervals and one or more distraction-present intervals corresponding to driving during the one or more driving sessions. The method also includes comparing movement data corresponding to the one or more distraction-free intervals with movement data corresponding to the one or more distraction-present intervals to produce distraction effect information. A computer system and computer program product corresponding to the method are also disclosed herein.

Abstract: Embodiments are directed to a natural language processing (NLP) system configured to receive a natural language (NL) input and perform an analysis operation to generate a NL output. The NLP system is configured to generate at least one confidence level based at least in part on at least one portion of the analysis operation. The NLP system is further configured to integrate at least one disfluency into the NL output based at least in part on the at least one confidence level.

Abstract: Embodiments are directed to a natural language processing (NLP) system configured to receive a natural language (NL) input and perform an analysis operation to generate a NL output. The NLP system is configured to generate at least one confidence level based at least in part on at least one portion of the analysis operation. The NLP system is further configured to integrate at least one disfluency into the NL output based at least in part on the at least one confidence level.

Abstract: A cognitive illumination system is provided. The cognitive illumination system includes a light source communicatively coupled to a servomechanism, wherein the servomechanism is configured to manipulate the light source in space, a tracking assembly configured to capture and track objects in the space and a processor communicatively coupled to the light source, the servomechanism and the tracking assembly. The processor is configured to receive information about the captured and tracked objects from the tracking assembly, determine a task being undertaken in the space therefrom, develop a lighting plan for the task which is executable by the light source and the servomechanism and control the light source and the servomechanism according to the lighting plan.

Abstract: Mechanisms are provided for conducting a natural language dialogue between the automatic dialogue system and a user of a client computing device. An automatic dialogue system receives natural language text corresponding to a user input from the user via the client computing device, the natural language text having an ambiguous portion of natural language text. The automatic dialogue system analyzes user profile information corresponding to the user to identify an anomaly in the user profile information and predicts a user intent associated with the anomaly. The automatic dialogue system disambiguates the ambiguous portion of the natural language text based on the predicted user intent and generates a response to the user input based on the disambiguated natural language text which is output to the client computing device to thereby conduct the natural language dialogue.

Abstract: Mechanisms are provided for customizing responses to future questions based on identified anomalies in user profile information. An automated dialogue system monitors information associated with a plurality of entities, where the information includes quantities for variable values associated with the entities. The automated dialogue system, in response to determining that a quantity of a variable value associated with an entity in the plurality of entities has changed by an amount equal to or exceeding a corresponding threshold value, generates response information associated with a quantity of the variable value and an entity to respond to at least one future question. In addition, the automated dialogue system stores the responsive information in association with the entity for later retrieval in response to initiation of a dialogue session with the automated dialogue system. Time thresholds may be established for determining when to stop using the responsive information for responding to questions.

Abstract: A method, apparatus and computer program product for responding to an indirect utterance in a dialogue between a user and a conversational system is described. An indirect utterance is received. A parse structure of the indirect utterance is generated. The indirect utterance is an utterance which does not match a user goal expressed as elements of a knowledge graph. The parse structure is connected through the knowledge graph to a user goal to issue a request which is not stated in the indirect utterance. A system response is performed, where the system response is a dialogue system response based on a combination of the parse structure and the connected user goal.