International Business Machines Corporation

James Steven Luke

John W Bell

Jean-Francois Puget

Mark L Todd

Royston W Shufflebotham

Oliver J Beacom

Paul C Jones

Luke Morgan

Robert Haas

John Arthur Ricketts

James Robert Magowan

Daniel Del Piccolo

Daniel Lane

Martine M Pulvenis

Anthony L Cole

Thomas J Davison

Rick A Hamilton, Ii

Graham White

Christopher Edward Sharp

Ralph Peter Williams

Andrew Gordon Neil Walter

Edward J Biddle

Philip D Tetlow

Matthew D Dalton

Robert James Hunter

Methods, systems, and computer program products for generating revised videos. The method includes, for example, receiving, by one or more processor, first video data of an environment having at least one projection on a screen from a first point of view, and generating, by the one or more processor, revised video data of the environment having the at least one projection on the screen from the first point of view based on the first video data, the revised video data comprising a plurality of frames with the at least one projection on the screen disposed in the first area relative to the environment in a plurality of frames being revised based on data for projecting the at least one projection on the screen in the first video data.

Video enhancement

Identifying data within a data store satisfying a request. A quantity of the identified data is greater than a threshold. The identified data is analyzed to produce an initial result set with a reduced data quantity including information summarizing the identified data. The analyzing includes visualizing the information summarizing the identified data as one or more graphical displays rendered within a user interface and selectively filtering the identified data based upon a selection of filter factors associated with the identified data to generate an initial result set having a smaller size in relation to the identified data set. Each of one or more succeeding result sets are generated from a corresponding prior result set until a succeeding result set includes a quantity of data satisfying the threshold. The generating of each succeeding result set includes filtering the corresponding prior result set and information summarizing the filtered result set.

Reducing a large amount of data to a size available for interactive analysis

A computer-implemented method, apparatus and computer program product of question generation in a cognitive system, comprising: receiving a training question; applying rules of grammar and common usage to generate variants of the training question; identifying any generalized versions of specific words, such as verbs or nouns in the training question; identifying any questions related to the training question; filtering out, utilizing a classifier, generated variants which do not make sense; and providing one or more output questions, synonymous to the training question.

Training of cognitive systems

Aspects of the present disclosure relate to training a conversational agent. A conversational agent is initiated with a set of atomic operators, each atomic operator having one or more atomic operator rules for executing operations. A natural language input is received from a user on a conversational interface. A determination is made whether the natural language input maps to an existing script by referencing a rules engine. In response to a determination that the natural language does not map to an existing script, training is requested from the user. Training is then received from the user which maps the natural language input to a script. A mapping rule which maps the natural language input to the script is stored, and the script is executed.

Training of conversational agent using natural language

A system determines groups of nodes within a communication network, each group forming a bi-connected component. A simple path is computed between a source node and a target node. Each group of nodes without a node in the simple path is removed producing a resulting set of nodes. Valid connections between the source node and the target node are determined that include only nodes in the resulting set of nodes. Information is provided from the source node to the target node via one or more of the valid connections. A running time for performing the step of determining the groups of nodes through the step of removing each of the groups of nodes without a node in the simple path is linear with respect to a size of a graph of the communication network. A method and computer program product also are provided.

Determining connections between nodes in a network

Systems, methods and computer program products for processing natural language input are provided. Natural language input is processed by one or more processing rules. The processing rules may specify one or more actions to be performed. The processing rules may alternatively or additionally split up the natural language input into a plurality of simpler sub-inputs, each of which may then be processed by one or more processing rules. The processing rules themselves may be generalized, which generalization may be based on user input. In the event that a suitable processing rule cannot be found, a request may be made to a user to provide instructions for processing the natural language input.

Natural language processing with adaptable rules based on user inputs

According to one embodiment of the present invention, a system determines groups of nodes within a network, each group forming a bi-connected component. The system identifies articulation nodes within the network, where each articulation node resides within each connection between a pair of nodes in the network. The system removes from the determined group each node that includes an articulation node between that node and both the source and target nodes to produce a resulting set of nodes. The system determines connections between the source and target nodes based on the resulting set of nodes. Embodiments of the present invention further include a method and computer program product for determining connections between network nodes in substantially the same manners described above.

A request for data is processed by identifying data within a data store satisfying the request, where an amount of the identified data exceeds a threshold, analyzing the identified data to produce an initial result set with a reduced amount of data including information summarizing the identified data, and generating one or more succeeding result sets each from a corresponding prior result set until a succeeding result set includes an amount of data satisfying the threshold. Each succeeding result set includes a reduced amount of data relative to the corresponding prior result set, and generating each succeeding result set includes filtering the corresponding prior result set and generating the succeeding result set including information summarizing the filtered result set.

A computing device may determine that a policy event to initiate data destruction for a first set of data has been triggered. The first set of data may be located on a first file. The computing device may delete, in response to the determining, a first security key used for decrypting the first set of data. The computing device may delete, in response to the determining, one or more transaction log entries associated with the first set of data. The one or more transaction log entries may include a copy of the first set of data. The one or more transaction log entries may be a part of a transaction log. The transaction log may be a second file that stores a history of each data change within the database.

Verifiable data destruction in a database

An approach is provided in which an information handling system creates a first language profile corresponding to a first user account in response to determining that the first user account generated a first offensive message. The information handling system computes an accumulated risk score of the first user account based on correlating the first language profile to a second language profile corresponding to a second user account that generated a second offensive post. The accumulated risk score is based on a first risk score of the first user account and a second risk score of the second user account. In turn, the information handling system generates a notification in response to determining that the accumulated risk score reaches a risk threshold.

Cloud-based analytics to mitigate abuse from internet trolls

Methods, computer program products and systems are provided for applying text analytics rules to a corpus of documents. The embodiments facilitate selection of a document from the corpus within a graphical user interface (GUI), where the GUI opens the selected document to display text of the selected document and also a token parse tree that lists tokens associated with text components of the document, facilitate construction of a text analytics rule, via the GUI, by user selection of one or more tokens from the token parse tree, and, in response to a user selecting one or more tokens from the token parse tree, provide a list of hits via the GUI, the hits including a listing of text components from documents of the corpus that are associated with tokens that comply with the constructed text analytics rule.

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Cowes, United Kingdom

James Steven Luke