Abstract: Provided is a method, a computer program product, and a system for associating mathematical functions to numerical text in a natural language sample. The method includes inputting a natural language sample from a text dataset and identifying a numerical text within the natural language sample. The method further includes displaying a mathematical function corresponding to the numerical text to be selected. The mathematical function can be selected via graphical user interface displayed on a computing device. The method also includes receiving and inserting the mathematical function as a feature into a feature vector of the natural language sample and selecting an output label for the natural language sample. The output label relates to the mathematical function selected for the numerical text. The method further includes exporting the natural language sample into a labeled dataset which can be used to train a machine learning model.

Abstract: A unit and system to validate and correct clinical summary reports includes a parser to parse a clinical summary report and at least one associated source report at document, table and cell level and to generate a table object for each table in each report together with a matrix of cells for each table, each matrix cell represented as a table cell object having an index; an identifier to identify each individual table cell object, a fingerprint generator to determine a semantic fingerprint for each cell object, including a value, header text and row and column information; a cell matcher to match clinical study report table cell objects with corresponding linked source report table cell objects using the fingerprint; and a validator to compare values between the matched clinical study report table cell objects and the at least one associated table cell source report objects to provide a validation decision.

Abstract: An interaction method of audio-video segmentation and apparatus, and a device and a storage medium. The method includes: detecting whether a selected clip exists in a target audio-video; in response to the selected clip existing in the target audio-video, displaying a split button upon detecting that a pointer on a track of the target audio-video is located in the selected clip; and splitting the selected clip, in response to a trigger operation for the split button, based on an intersection position of the pointer and the selected clip. Compared with an interaction means in which a split button resides in a pointer of a track, mis-operations of audio-video splitting can be reduced to the greatest extent, and the usage experience of a user is improved to a certain extent.

Abstract: Using active learning to detect Protected Health Information (“PHI”) in documents stored as unannotated natural language data by selecting an initial chunk of text from the documents; forming a gold standard data via annotating the text by a human, the annotating identifies and tags PHI required to de-identify the text; training, using machine learning and the text before and after the annotating, a model having rules for PHI detection; querying, using a strategy, the documents to select a next chunk of text; machine annotating the text using the trained model; updating the gold standard data via correcting the machine annotation of the text by the human, wherein an amount of corrections in the updated gold standard data indicates a quality of the machine annotation; and iterating the steps starting at training, until the quality of the machine annotation is higher than a predetermined quality threshold.

Abstract: An information processing device of embodiments includes a data acquirer and a network processor. The data acquirer is configured to acquire graph structure data that includes a plurality of real nodes and one or more real edges connecting two of the plurality of real nodes. The network processor is configured to execute processing of propagating a feature amount of a k?1th layer of each of a plurality of assumed nodes that include the plurality of real nodes and the one or more real edges at least to a feature amount of a kth layer of another assumed node in a connection relationship with each of the assumed nodes in a neural network on the basis of the graph structure data acquired by the data acquirer. k is a natural number equal to or more than 1.

Abstract: At an electronic device, a user input is detected that corresponds to a respective user interface element in a portion of a user interface that is associated with a first standard gesture recognizer and a first supplemental gesture recognizer. The user input is processed in accordance with the first standard gesture recognizer and the first supplemental gesture recognizer. In accordance with a determination that content associated with the respective user interface element cannot be added to a drag operation, the device fails to recognize the user input using the first supplemental gesture recognizer, and processes the user input using the first standard gesture recognizer. On the other hand, in accordance with a determination that the content associated with the respective user interface element can be added to the drag operation, a gesture is recognized using the first supplemental gesture recognizer and the content is added to the drag operation.

Abstract: Provided are an electronic device for navigating an application screen, and an operating method thereof. The method may include receiving a user input; determining, based on the user input, a user intent for controlling the electronic device; determining a command for performing a control operation corresponding to the user intent as a goal; identifying elements of a user interface on the screen of the application; determining, based on the user intent and the elements of the user interface, at least one sub-goal for executing the command; and executing the command by performing at least one task corresponding to the at least one sub-goal, wherein the at least one sub-goal is changeable based on a validation of an operation of navigating the application for executing the command, and the at least one task includes units of action for navigating the application.

Abstract: There is provided a neural network learning apparatus capable of adjusting an amount of reduction in a model size. A group parameter generating part grouping model parameters of a neural network model into arbitrarily defined groups and generating group parameters indicating features of the groups, a regularization term calculating part calculating a regularization term on an assumption that distribution of the group parameters is according to distribution defined by hyper parameters which are parameters defining distribution features, and a model updating part calculating a loss function from correct labels in teacher data, output probability distribution obtained by inputting feature values corresponding to the correct labels in the teacher data to the neural network model, and a regularization term, and updating the neural network model in a manner that a value of the loss function is decreased are included.

Abstract: The present invention provides a document display assistance system which estimates and highlights significant words in a document of a specific field. The system comprises: a database in which selection-target words and non-selection-target words are registered; a learned word-selection model having been applied with machine learning for estimating whether a word is a selection-target word; a text pre-processing unit which segments words from an accepted display-target document; a word classification unit which classifies, based on the database, the word into any of a selection-target word, a non-selection-target word, and an indeterminate word; a text post-processing unit which generates output data by imparting a predetermined attribute to a predetermined word in the display-target document; and an output unit which outputs the output data.

Abstract: Systems and methods for text simplification are described. Embodiments of the present disclosure identify a simplified text that includes original information from a complex text and additional information that is not in the complex text. Embodiments then compute an entailment score for each sentence of the simplified text using a neural network, wherein the entailment score indicates whether the sentence of the simplified text includes information from a sentence of the complex text corresponding to the sentence of the simplified text. Then, embodiments generate a modified text based on the entailment score, the simplified text, and the complex text, wherein the modified text includes the original information and excludes the additional information. Embodiments may then present the modified text to a user via a user interface.

Abstract: An information processing device includes at least one hardware processor. The hardware processor selects one or more pieces of partial document data from document data. The hardware processor extracts, from the partial document data, first information being a word or a phrase for specifying a first attribute of the partial document data. The hardware processor extracts, from the partial document data, second information being a word or a phrase for specifying a second attribute of the partial document data. The hardware processor calculates a first feature value representing a feature of the first information. The hardware processor calculates a second feature value representing a feature of the second information. The hardware processor analyzes the document data on the basis of the first feature value and the second feature value.

Abstract: A method includes receiving a request from a user device accessing a webpage, the request including a webpage uniform resource locator (URL) and a user device identifier. The method includes retrieving a list of events associated with the user device based on the device identifier. The method further includes retrieving sets of rules. Each set of rules indicates events and URLs that satisfy the set of rules. Each set of rules is associated with a template that includes link rendering data for rendering a link on the user device. The method includes identifying a set of rules that is satisfied by the received URL and events, transmitting link rendering data associated with the identified set of rules to the user device, and transmitting link routing data to the user device. The link routing data is configured to route the user device to an application state corresponding to the webpage.

Abstract: Systems and methods are described herein for a feature generator that may generate values for a plurality of features based on the feature names The plurality of features may comprise pre-calculated features and dynamic features. While values of the pre-calculated features may have been calculated beforehand, the names of the dynamic features may comprise instructions for calculating the values of the dynamic features. The feature generator may parse, based on a dynamic feature grammar, the names of the dynamic features to determine the instructions for calculating the values of the dynamic features. The instructions may comprise a function token, data tokens, and/or parameter tokens. The feature generator may calculate the dynamic values based on the tokens. The feature generator may be a part of a machine learning based data analyzing system and generate inputs for the data analyzing system.

Abstract: A malfunction detection device compares detected data on a condition at a predetermined part of an apparatus with a threshold so as to determine a malfunction of the apparatus. The malfunction detection device varies the threshold in accordance with a type of a lubricant used for movable parts of the apparatus.

Abstract: The invention is directed to an electronic device. The electronic device provides, for display on a display device, a user interface including a first set of columns, two or more columns in the first set of columns each including two or more menu items. The electronic device receives a selection input. In response to receiving the selection input, in accordance with a determination that the selection input corresponds to selection of a first column the electronic device provides, for display on the display device, a second set of columns, two or more of the columns in the second set of columns corresponding to different subsets of menu items that were displayed in the first column that was selected in response to the selection input.

Abstract: An image analysis apparatus (102) includes: an icon placement unit (107) accepting an instruction for placing, on a screen, a plurality of icons including a plurality of input source icons each indicating an input source of image data being a target of analysis, a plurality of image processing icons each indicating an image processing engine for the image data, and at least one output destination icon indicating an output destination of a processing result by an image processing engine, and placing the plurality of icons on the screen in accordance with the instruction; a connection unit (110) accepting a connection instruction for connecting icons placed on the screen; and a data flow setting unit (111) setting a flow of data between the icons in accordance with the connection instruction and displaying the flow on the screen.

Abstract: A bipartite application implements a table auto-completion (TAC) algorithm on the client side and the server side. A client module runs a local model of the TAC algorithm on a user device and a server module runs a global model of the TAC algorithm on a server machine. The local model is continuously adapted through on-the-fly training, with as few as one negative example, to perform TAC on the client side, one document at a time. Knowledge thus learned by the local model is used to improve the global model on the server side. The global model can be utilized to automatically and intelligently extract table information from a large number of documents with significantly improved accuracy, requiring minimal human intervention even on complex tables.

Abstract: Information having a hierarchical structure is appropriately selected and displayed in accordance with a change in a user. Provided are: a display unit; a storage unit configured to store information to be displayed on the display unit, the information having a plurality of hierarchical structures; and a display control unit configured to read information from the storage unit while selecting a level and display the read information on the display unit, based on a maximum viewing distance between the display unit and a viewer viewing the display unit at which the viewer is able to view the display unit while holding a device housing, and on a current viewing distance between the viewer and the device housing.

Abstract: Described herein is a computer implemented method. The method includes accessing, by a computer system including a processing unit, portable document format (PDF) data defining a plurality of glyphs, sorting the plurality of glyphs into one or more glyph sets, and calculating an expanded glyph bounding box for each glyph. Each glyph set is processed to determine one or more text areas, each text area being associated with one or more glyphs from the glyph set which have collectively overlapping expanded bounding boxes.

Abstract: An electronic device according to various embodiments may include: a memory, a display, and a processor, and the processor may be configured to: based on identification of insertion of a text-linked first object during display of text on the display, convert the first object into a text type, and based on a layout of the text displayed on the display being changed according to editing of the text, control the display to display the first object to a changed position corresponding to the changed layout of the text.