One embodiment provides a method, including: receiving two documents, one of the two documents having at least one table that includes the same information as a corresponding table in the other of the two documents, wherein (i) one of the two documents comprises the at least one table in an unstructured table representation and (ii) the other of the two documents comprises the at least one table in a structured table representation; identifying text elements within the at least one table in the unstructured table representation; matching the identified text elements with table elements within the at least one table in the structured table representation; and annotating the at least one table in the structured table representation based upon the matches between the table elements and text elements.

Systems involving a hub platform and communication network that perform real-time processing of data involving time-stamped/time-sensitive aspects and provide equal access/utilization and/or other features are disclosed. In one example, an illustrative system comprises a hub computer platform and associated computing components configured to generate a plurality of portals, and may include aspects such as automatically updating information on a real-time basis between portals, automatically attaching and/or processing timestamps that are attached to orders upon receipt and acceptance thereof, continuously generating and/or processing information of an order file, generating, continuously updating and/or interactively displaying various tabular and/or graphical information that are based on real-time order file updates, generating other GUI features that, for example, may graphically display and continually update level-of-involvement information, and/or displaying, to investors, information and metrics based on real-time order file updates.

Systems involving a hub platform and communication network that perform real-time processing of data involving time-stamped/time-sensitive aspects and provide equal access/utilization and/or other features are disclosed. In one example, an illustrative system comprises a hub computer platform and associated computing components configured to generate a plurality of portals, and may include aspects such as automatically updating information on a real-time basis between portals, automatically attaching and/or processing timestamps that are attached to orders upon receipt and acceptance thereof, continuously generating and/or processing information of an order file, generating, continuously updating and/or interactively displaying various tabular and/or graphical information that are based on real-time order file updates, generating other GUI features that, for example, may graphically display and continually update level-of-involvement information, and/or displaying, to investors, information and metrics based on real-time order file updates.

A method comprising displaying, on a touchscreen, a digital electronic document; receiving first input from the touchscreen and determining that the first input comprises a rectangle gesture; receiving second input from the touchscreen and determining that the second input comprises a subdivision gesture that indicates dividing the rectangle; determining that the first input and the second input have been received within a time threshold; in response to determining that the first input and second input have been received within the time threshold, automatically generating a table that comprises a plurality of cells; automatically placing the table in the document at a location that is based on the first input and updating the document that is displayed on the touchscreen to visually show the table; wherein the method is performed by one or more computing devices.

A method for providing a user interface (UI) for generating training data for an artificial intelligence (AI) model may include providing, for display via the UI, image information that depicts an object, a set of operations of the object, and a process associated with the set of operations. The method may include providing, for display via the UI, text information that describes the object, the set of operations of the object, and the process associated with the set of operations. The method may include receiving, via the UI, a user input that associates respective image information of the image information with corresponding text information of the text information. The method may include generating association information that associates the respective image information with the corresponding text information, based on the user input. The method may include generating discourse and semantic information from the text information associated to the image information.

The invention relates to a server for providing a graphical user interface to a client over a communication network. The graphical user interface comprises a graphical user interface element, the graphical user interface element being formed by an element shape and an element text, the element shape being represented by element shape data, the element text being represented by element text data. The server comprises an encoder configured to encode the element shape data into video data, a detector configured to detect a change associated with the graphical user interface element within the graphical user interface, and a communication interface configured to separately transmit the video data and the element text data over the communication network, the element text data being transmitted upon detection of the change associated with the graphical user interface element for providing the graphical user interface to the client.

The present disclosure provides a pre-training method for a sentiment analysis model and an electronic device, which relates to a field of artificial intelligence technologies. The method includes: based on a given seed sentiment dictionary, performing sentimental knowledge detection on a training corpus in a training corpus set, and determining a detection sentiment word and a detection word pair of the training corpus; according to preset mask processing rules, performing mask process on the training corpus to generate a masked corpus; performing encoding and decoding on the masked corpus by using a preset encoder and decoder to determine the detection sentiment word and the detection word pair of the training corpus; and updating the preset encoder and decoder according to a difference between prediction sentiment word and the detection sentiment word, and a difference between prediction word pair and the detection word pair.

Described herein is a system and method for detecting a layout table by a screen reader. Information regarding a document being displayed by an application is received from an application programming interface of a user interface automation system that provides information regarding user interface elements of application and/or the application. The information includes an indication that the document comprises a table. A determination is made as to whether the table is a data table or a layout table based upon the received information using a rule-based heuristic. When it is determined that the table is a layout table, presentation information associated with the layout table can be skipped over, and, cell data content within the layout table provided. Thus, for a determined layout table, the system and method allow the screen reader to act as if the containing table doesn't exist, but still read the content.

A system, method, and computer-readable storage medium configured to facilitate user purpose in a computing architecture.

A system and method is provided that ranks and sorts websites, apps, email, or VR environment content in real-time to increase engagement, CTR, conversions, and revenue. A client applies attributes to sections of the digital content. A server system tracks end user inputs and generates optimized layouts for the digital content, such as a webpage. The document layout is ordered or reorganized before or after the document is delivered to the end user.